2022-CV-Surveys.md

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2021 年论文分类汇总戳这里

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↘️CVPR-2020-Papers ↘️ECCV-2020-Papers

2022-CV-Surveys

2022 年，计算机视觉相关综述。包括目标检测、跟踪........

📗📗📗在【我爱计算机视觉】微信公众号后台回复“CV综述”，即可收到本文列出的全部论文的打包下载。至12月29日已公开 258 篇。

目录

🐱	🐶	🐯	🐺
50.NLP	51.建筑设计	52.全景成像
46.Adversarial attacks(对抗攻击)	47.工业检测	48.农业	49.Machine Learning(机器学习)
42.Human Analysis	43.harmful meme detection	44.Fish Habitat Monitoring	45.Data Augmentation(数据增强)
38.Anomaly Detection(异常检测)	39.Deepfake Detection(虚假内容检测)	40.Metric Learning(度量学习)	41.Clustering(聚类)
34.Transfer Learning(迁移学习)	35.Semi/Self-Supervised Learning(自/半监督)	36.生物特征识别	37.Object Pose Estimation(物体姿势估计)
30.Domain Adaptation(域适应)	31.Visual Speech(视觉语音)	32.Style Transfer(风格迁移)	33.Reinforcement Learning(强化学习)
26.Graph Neural Networks(图神经网络)	27.Image Synthesis	28.Capsule networks(胶囊网络)	29.Augmented Reality/Virtual Reality/Robotics(增强/虚拟现实/机器人)
22.Image Segmentation(图像分割)	23.OCR	24.Attention	25.Vision-Language(视觉语言)
18.NAS(神经架构搜索)	19.GAN	20.3D	21.Model Compression/Knowledge Distillation/Pruning(模型压缩/知识蒸馏/剪枝)
13.Human Pose Estimation(人体姿态估计)	14.Auto Driving(自动驾驶)	15.Image Super-resolution(超分辨率)
9.Video	10.Object Detection(目标检测)	11.Object Tracking(目标跟踪)	12.Image Processing(图像处理)
5.UAV\Remote Sensing\Satellite Image(无人机\遥感\卫星图像)	6.Face(人脸)	7.3D	8.Transformer
1.Unkown(未分)	2.Scene Graph Generation(场景图生成)	3.🏥Medical Image(医学影像)	4.ReID(重识别)

VQA

• VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges

52.全景成像

• Review on Panoramic Imaging and Its Applications in Scene Understanding
  [2022-05-12]
  
• Deep Learning for Omnidirectional Vision: A Survey and New Perspectives
  [2022-05-24]
  

51.建筑设计

• Computer vision-based analysis of buildings and built environments: A systematic review of current approaches
  [2022-08-02]
  基于计算机视觉的建筑和建筑环境分析综述

50.NLP

• A Survey of Parameters Associated with the Quality of Benchmarks in NLP
  [2022-10-17]
  

49.Machine Learning(机器学习)

• Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
  [2022-07-28]
  

48.农业

• A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture
  [2022-10-21]
  

47.工业检测

• A Survey of Detection Methods for Die Attachment and Wire Bonding Defects in Integrated Circuit Manufacturing
  [2022-06-16]
  本文对用于检测这些缺陷的方法进行了调查或文献回顾，这些方法是基于所使用的不同传感方式，包括光学、放射学、声学和红外热成像。在这项调查中，对所使用的检测方法进行了讨论。传统的和深度学习的方法都被认为是检测芯片连接和电线连接缺陷的方法，同时也考虑了挑战和未来的研究方向。

46.Adversarial attacks(对抗攻击)

• Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
  [2022-06-17]
  
• A Survey on Physical Adversarial Attack in Computer Vision
  [2022-06-29]
  
• Physically Adversarial Attacks and Defenses in Computer Vision: A Survey
  [2022-11-04]
  

45.Data Augmentation(数据增强)

• A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classication Tasks
  [2022-06-15]
  本篇综述从图像分类的角度讨论了AutoDA技术出现的根本原因。确定了标准AutoDA模型的三个关键组成部分：搜索空间、搜索算法和评估功能。基于它们的结构，对现有的图像AutoDA方法进行了系统的分类。本文介绍了AutoDA领域的主要工作，讨论了它们的优点和缺点，并提出了几个潜在的未来改进方向。
• A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
  [2022-12-22]
  ⭐code

44.Fish Habitat Monitoring

• Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey
  [2022-06-14]
  

43.harmful meme detection

• Detecting and Understanding Harmful Memes: A Survey
  [2022-05-10]
  有害 meme 检测综述

42.Human Analysis

• Synthetic Data in Human Analysis: A Survey
  [2022-08-22]
  

41.Clustering(聚类)

• 双聚类算法
  • Biclustering Algorithms Based on Metaheuristics: A Review
    [2022-03-31]

40.Metric Learning(度量学习)

• Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
  [2022-01-25]
  从spectral（谱系）、概率、深度学习三个方法中对度量学习进行调研回顾。

39.Deepfake Detection(虚假内容检测)

• A Review of Deep Learning-based Approaches for Deepfake Content Detection
  [2022-02-15]
  

38.Anomaly Detection(异常检测)

• 工业异常检测
  • A Survey on Unsupervised Industrial Anomaly Detection Algorithms
    [2022-04-26]
• 视觉感官异常检测
  • A Survey of Visual Sensory Anomaly Detection
    [2022-02-16]
    ⭐code
    首个视觉感官AD的全面调研工作

37.Object Pose Estimation(物体姿势估计)

• 6D
  • Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding
    [2022-12-06]

36.生物特征识别

• 指纹孔隙检测
  • Fingerprint Pore Detection: A Survey
    [2022-11-29]
    ⭐code
• 指纹活性检测
  • Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021
    [2022-02-16]
    对2009年至2021年的LivDet版本的指纹演示攻击检测（FPAD）算法的性能评估，并指出它们多年来的演变。
• 手掌静脉识别
  • Towards the Generation of Synthetic Images of Palm Vein Patterns: A Review
    [2022-05-23]
    
• 手指静脉识别
  • Artificial Neural Networks for Finger Vein Recognition: A Survey
    [2022-08-30]
    收集了149篇相关论文,总结基于人工神经网络的指静脉识别的发展。
• 虹膜识别
  • Deep Learning for Iris Recognition: A Survey
    [2022-10-13]
    本篇综述是对过去10年中发表的 200 多篇关于虹膜识别深度学习技术最新发展的论文、技术报告和 GitHub 资源库进行的全面回顾，涵盖了算法设计、开源工具、公开挑战和新兴研究等广泛的主题。

35.Semi/Self-Supervised Learning(自/半监督)

• 自监督
  • Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
    [2022-06-07]
    
  • A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
    [2022-08-02]
    
  • A survey on Self Supervised learning approaches for improving Multimodal representation learning
    [2022-10-21]
    
  • Survey on Self-Supervised Multimodal Representation Learning and Foundation Models
    [2022-11-30]
    
• 半监督
  • Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
    [2022-08-25]
    

34.Transfer Learning(迁移学习)

• A Review of Deep Transfer Learning and Recent Advancements
  [2022-01-25]
  

33.Reinforcement Learning(强化学习)

• Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches
  [2022-06-17]
  
• A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
  [2022-10-10]
  ⭐code

32.Style Transfer(风格迁移)

• An Overview of Color Transfer and Style Transfer for Images and Videos
  [2022-04-29]
  

31.Visual Speech(视觉语音)

• Deep Learning for Visual Speech Analysis: A Survey
  [2022-05-24]
  是对基于深度学习的VSA进行的全面回顾。其中专注于两个基本问题：视觉语音识别和视觉语音生成，并对现实的挑战和当前的发展，包括数据集、评估协议、代表方法、SOTA性能、实际问题等进行总结。
• Learning in Audio-visual Context: A Review, Analysis, and New Perspective
  [2022-08-23]
  从不同方面回顾和展望了当前视听学习领域的情况

30.Domain Adaptation(域适应)

• 域适应
  • Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
    [2022-08-17]
    深度无监督域适应综述
  • Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey
    [2022-12-07]
    

29.Augmented Reality/Virtual Reality/Robotics(增强/虚拟现实/机器人)

• AR
  • Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces
    [2022-03-08]
    对AR增强型人机交互和机器人界面的调查和分类综述，共调研460篇相关文献。
  • Modern Augmented Reality: Applications, Trends, and Future Directions
    [2022-02-24]
    
• SLAM
  • General Place Recognition Survey: Towards the Real-world Autonomy Age
    [2022-09-13]
    ⭐code
  • Semantic Visual Simultaneous Localization and Mapping: A Survey
    [2022-09-15]
  • SLAM for Visually Impaired People: A Survey
    [2022-12-12]
    

28.Capsule networks(胶囊网络)

• Learning with Capsules: A Survey
  [2022-06-07]

27.Image Synthesis

• A Survey on 3D-aware Image Synthesis
  [2022-10-27]
  ⭐code
• 图像合成
  • Human Image Generation: A Comprehensive Survey
    [2022-12-20]

26.Graph Neural Networks(图神经网络)

• A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
  [2022-09-28]

25.Vision-Language(视觉语言)

• Debiasing Methods for Fairer Neural Models in Vision and Language
  [2022-11-11]
  
• 视觉语言预训练
  • VLP: A Survey on Vision-Language Pre-training
    [2022-02-21]
    本篇文章对视觉语言预训练（VLP）的最新进展和新领域进行了调研，包括图像-文本和视频-文本预训练。并表示这是第一份关于VLP的调研。希望它能对VLP领域的未来研究有所启示。
  • A Survey of Vision-Language Pre-Trained Models
    [2022-02-23]
    本篇综述对 VL-PTMs 进行了回顾。其中说明了常用的架构，并对它们的优点和缺点进行了讨论。还介绍了几种预训练VL-PTM并使其适应下游任务的主流方法。
  • Vision-and-Language Pretrained Models: A Survey
    [2022-04-18]
    
  • Vision-Language Pre-training: Basics, Recent Advances, and Future Trends
    [2022-10-18]
    

24.Attention

• Visual Attention Methods in Deep Learning: An In-Depth Survey
  [2022-04-19]
  本篇综述回顾了 70 多篇与视觉应用中使用的各种注意力机制有关的文章。并对注意力技术以及它们的优点和局限性进行了全面的讨论。
• A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
  [2022-04-27]
  

23.OCR

• 手写数字识别
  • Two Decades of Bengali Handwritten Digit Recognition: A Survey
    [2022-06-07]
    本文分析了孟加拉语手写数字的特点和固有的模糊性，以及对二十年来最先进的数据集和离线BHDR方法的全面了解。
• Logo Detection
  • Deep Learning for Logo Detection: A Survey
    [2022-10-10]
    
• 表格检测
  • Deep learning for table detection and structure recognition: A survey
    [2022-11-17]
    ⭐code

22.Image Segmentation(图像分割)

• Semantic Segmentation for Thermal Images: A Comparative Survey
  [2022-05-27]
  热图像语义分割综述调研
• Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview
  [2022-11-16]
  
• 细粒度零件分割
  • Parsing Objects at a Finer Granularity: A Survey
    [2022-12-29]
    

21.Model Compression/Knowledge Distillation/Pruning(模型压缩/知识蒸馏/剪枝)

• A survey of deep learning optimizers-first and second order methods
  [2022-11-29]
  
• 剪枝
  • Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey
    [2022-05-18]
    通过 Pruning 和 Freezing 深层神经网络的部分内容进行降维训练调研
• ANN
  • A Review on Plastic Artificial Neural Networks: Exploring the Intersection between Neural Architecture Search and Continual Learning
    [2022-06-14]
    
• KD
  • Teacher-Student Architecture for Knowledge Learning: A Survey
    [2022-11-01]
    

20.3D

• 深度估计
  • Outdoor Monocular Depth Estimation: A Research Review
    [2022-05-04]
    
• 表面重建
  • Surface Reconstruction from Point Clouds: A Survey and a Benchmark
    [2022-05-06]
    ⭐code
• 深度补全
  • Deep Depth Completion: A Survey
    [2022-05-12]
    

19.GAN

• Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
  [2022-04-12]
  GAN在农业中的图像增强作用综述
• A Comprehensive Survey on Data-Efficient GANs in Image Generation
  [2022-04-19]
  对更全面跟系统的 DE-GANs 的调研。
• Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review
  [2022-05-17]
  本篇论文全面研究了 GANs 在解决 COVID-19 数据稀缺和诊断相关挑战方面的作用。
• Face editing with GAN -- A Review
  [2022-07-25]
  GANs 有两个相互竞争的神经网络：一个生成器和一个鉴别器。生成器用于产生新的样本或内容片段，而鉴别器则用于识别内容片段是真实的还是生成的。它与其他生成式模型的不同之处在于它能够学习未标记的样本。本篇文章回顾了 GANs 如何应用于一系列的应用，包括逼真的图像、文本生成，甚至人类姿势的合成。以及对 GANs 的演变、所提出的几项改进以及不同模型之间进行简要比较。

18.NAS(神经架构搜索)

• SuperNet in Neural Architecture Search: A Taxonomic Survey
  [2022-04-11]
  神经架构搜索的 SuperNet 分类法调研

17.Point Clouds(点云)

• Unsupervised Representation Learning for Point Clouds: A Survey
  [2022-03-01]
  ⭐code
  本篇综述对使用 DNN 的无监督点云表征学习进行了全面回顾。
• Sequential Point Clouds: A Survey
  [2022-04-21]
  
• 点云补全
  • Comprehensive Review of Deep Learning-Based 3D Point Clouds Completion Processing and Analysis
    [2022-03-08]
    

16.Human Action Recognition and Detection(人体动作识别与检测)

• Continuous Human Action Recognition for Human-Machine Interaction: A Review
  [2022-03-01]
  
• A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications
  [2022-06-03]
  
• 基于视频的动作识别
  • Video-based Human Action Recognition using Deep Learning: A Review
    [2022-08-09]
    
• 动作质量评估
  • A Survey of Video-based Action Quality Assessment
    [2022-04-21]
    对基于视频的动作质量评估的现有论文进行了全面的调查。
• Transformer
  • Vision Transformers for Action Recognition: A Survey
    [2022-09-14]
    

15.Image Super-resolution(超分辨率)

• A Review of Deep Learning Based Image Super-resolution Techniques
  [2022-01-26]
  
• Infrared Image Super-Resolution: Systematic Review, and Future Trends
  [2022-12-26]
  ⭐code
• 单图像超分辨率
  • Single Image Super-Resolution Methods: A Survey
    [2022-02-25]
    
  • Generative Adversarial Networks for Image Super-Resolution: A Survey
    [2022-04-29]
    

14.Auto Driving(自动驾驶)

• Multi-modal Sensor Fusion for Auto Driving Perception: A Survey
  [2022-02-08]
  本篇综述对现有的基于多模态的自主驾驶感知任务的方法进行了文献调研。其中包含 50 多篇利用感知传感器（包括LiDAR和相机）试图解决目标检测和语义分割任务的论文。期望为自主驾驶感知任务提出一个新的多模态融合方法分类法，并引发对未来基于融合技术的思考。
• Vision-Centric BEV Perception: A Survey
  [2022-08-05]
  ⭐code
• A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation
  [2022-08-24]
  
• Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe
  [2022-09-13]
  ⭐code
• Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
  [2022-11-11]
  
• 三维人体运动预测
  • 3D Human Motion Prediction: A Survey
    [2022-03-04]
    本篇综述系统地回顾了 2015 年以来人类运动预测领域的所有相关期刊和会议论文，并对相关方法、数据集、基准、性能进行了讨论分析。
• 行为预测
  • Didn't see that coming: a survey on non-verbal social human behavior forecasting
    [2022-03-07]
    
• 鱼眼相机
  • Surround-view Fisheye Camera Perception for Automated Driving: Overview, Survey and Challenges
    [2022-05-27]
    用于自动驾驶的环视鱼眼相机感知综述调研
• 地图
  • High-Definition Map Generation Technologies For Autonomous Driving: A Review
    [2022-06-14]
    
• Visual Map Localization
  • A Survey on Visual Map Localization Using LiDARs and Cameras
    [2022-08-09]
    
• 智能交通
  • Review on Action Recognition for Accident Detection in Smart City Transportation Systems
    [2022-08-23]
    本文对智能城市的事故检测和自主交通系统中的动作识别进行了深入的回顾。
• 行为意图预测
  • Behavioral Intention Prediction in Driving Scenes: A Survey
    [2022-11-02]
    

13.Human Pose Estimation(人体姿态估计)

• A survey of top-down approaches for human pose estimation
  [2022-02-08]
  本篇论文的目的是为研究人员提供基于深度学习方法的二维图像的人体姿态估计的广泛回顾，自2016年以来，这些方法只专注于自上而下的方法。
• 3D人体网格结构恢复
  • Recovering 3D Human Mesh from Monocular Images: A Survey
    [2022-03-04]
    ⭐code
    本篇报告对过去十年中的三维人体网状结构恢复方法进行了全面的概述,是第一篇专注于单目三维人体网状结构恢复任务的调查报告。
• 2D人体姿态估计
  • 2D Human Pose Estimation: A Survey
    [2022-04-18]
    对 200 多项研究贡献，从 network architecture design（网络架构设计）、network training refinement（网络训练细化）和 post processing（后处理）三个方向对二维人体姿态估计进行了全面调研。
• 3D手部姿势估计
  • Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey
    [2022-06-07]
    
• 人体坠落/跌倒检测
  • Vision-based Human Fall Detection Systems using Deep Learning: A Review
    [2022-07-25]
    人的跌倒是非常关键的健康问题之一，特别是对于独居的老人和残疾人。全世界老年人口的数量正在稳步增加。因此，人体跌倒检测正在成为这些人辅助生活的有效技术。对于辅助生活，深度学习和计算机视觉已被大量使用。在这篇综述中，讨论了基于深度学习（DL）的最先进的非侵入式（基于视觉）跌倒检测技术。提出一项关于跌倒检测基准数据集的调查。为了清楚地了解，简要地讨论了用于评估跌倒检测系统性能的不同指标。另外还给出基于视觉的人类跌倒检测技术的未来方向。

12.Image Processing(图像处理)

• Image Compression(图像压缩)
  • Learning-Driven Lossy Image Compression; A Comprehensive Survey
    [2022-01-25]
    本篇综述是对过去五年的利用ML架构进行有损图像压缩技术的调研。
• 去模糊
  • Blind Image Deblurring: a Review
    [2022-01-26]
    
  • Deep Image Deblurring: A Survey
    [2022-01-27]
    
  • A Survey on Image Deblurring
    [2022-02-16]
    本篇图像去模糊综述分别对传统的图像去模糊方法和深度表示的图像去模糊方法进行了全面调研。
• 图像修复
  • All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey
    [2022-06-07]
    ⭐code
• 图像增强
  • A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
    [2022-05-04]
    
• Hyperspectral Unmixing
  • Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review
    [2022-05-23]
    本篇文章作者对为高光谱解混提出的基于NMF的方法进行了全面调研。
  • Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond
    [2022-12-22]
    
• Fake Detection
  • A Survey of Deep Fake Detection for Trial Courts
    [2022-06-01]
    
• 高分辨率图像视频处理
  • Efficient High-Resolution Deep Learning: A Survey
    [2022-07-26]
    
• 网格去噪
  • Geometric and Learning-based Mesh Denoising: A Comprehensive Survey
    [2022-09-05]
    
• 高光谱影像
  • A Guide to Employ Hyperspectral Imaging for Assessing Wheat Quality at Different Stages of Supply Chain in Australia: A Review
    [2022-09-14]
    

11.Object Tracking(目标跟踪)

• Single Object Tracking Research: A Survey
  [2022-04-26]
  本文介绍了近十年来视频目标跟踪领域两大主流算法框架（基于相关滤波和孪生网络的目标跟踪算法）的基本原理、改进策略和代表性工作，之后按照网络结构分类介绍了其他基于深度学习的目标跟踪算法，还从解决目标跟踪所面临挑战的角度介绍了应对各类问题的典型解决方案，并总结了视频目标跟踪的历史发展脉络和未来发展趋势。
• Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis
  [2022-05-10]
  ⭐code
  本文对领先的 Siamese 跟踪器进行了全面的回顾，同时基于使用典型的无人机机载处理器的评估，对无人机进行了详尽的具体分析。
• RGBT Tracking
  • A Survey for Deep RGBT Tracking
    [2022-01-25]
    本篇综述是对近期基于深度神经网络的RGBT追踪器的全面调研，得出MDNet和Siamese架构在RGBT任务中的两个主流框架，前者取得了更高的性能，而后者则满足了实时性要求。以及应对更大数据集应用时，应进一步考虑整合端到端框架，如Siamese和Transformer，以满足实时性以及更强的性能。
• 视觉目标跟踪
  • Visual Object Tracking on Multi-modal RGB-D Videos: A Review
    [2022-01-25]
    本篇综述的目的是总结RGB-D跟踪研究中的相关知识。
  • Visual Object Tracking in First Person Vision
    [2022-09-28]
    ⭐code
• 多目标跟踪
  • Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey
    [2022-05-24]
    对多目标跟踪（MOT）中的嵌入方法进行了全面调查和深入分析。
  • Multiple Object Tracking in Recent Times: A Literature Review
    [2022-09-13]

10.Object Detection(目标检测)

• A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey
  [2022-08-24]
  
• YOLO
  • Real Time Object Detection System with YOLO and CNN Models: A Review
    [2022-08-02]
    使用YOLO和CNN模型的实时目标体检测系统综述
• 3D Object Detection
  • Survey and Systematization of 3D Object Detection Models and Methods
    [2022-01-25]
    本篇综述是对过去10年中大量不同的3D目标检测方法的全面调研。
  • 3D Object Detection from Images for Autonomous Driving: A Survey
    [2022-02-08]
    ⭐code
    本篇论文是第一项调查基于图像的自主驾驶 3D 检测方法的工作。其中包含 80 多个基于图像的 3D 检测方法和从 2015 年到 2021 年间的 200 多个相关研究工作。
  • 3D Object Detection for Autonomous Driving: A Survey
    [2022-05-25]
    
• 结构裂缝检测
  • What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification
    [2022-02-09]
    本篇综述旨在让研究人员对裂缝分析算法领域内已发表的利用深度学习的工作有一个概览。
• 坑洞检测
  • Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms
    [2022-04-29]
    
• 持续目标检测
  • Continual Object Detection: A review of definitions, strategies, and challenges
    [2022-06-01]
    
• 小目标检测
  • Towards Large-Scale Small Object Detection: Survey and Benchmarks
    [2022-07-29]
    ⭐code
• 水下目标检测
  • Review On Deep Learning Technique For Underwater Object Detection
    [2022-09-22]
    
• 牛识别
  • A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions
    [2022-10-18]

9.Video

• 视频摘要
  • Video Summarization Overview
    [2022-10-24]
    
• 视频理解
  • The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions
    [2022-01-21]
    
• 视频分析
  • A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions
    [2022-03-07]
    本文对体育视频分析的各种应用进行了全面的回顾，如球员的检测和分类，跟踪体育运动中的球员或球，预测球员或球的轨迹，识别球队的策略，对体育中的各种事件进行分类。
  • Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
    [2022-11-21]
    
  • Deep Learning-Driven Edge Video Analytics: A Survey
    [2022-11-30]
    
• 视频监控
  • Drivers' attention detection: a systematic literature review
    [2022-04-11]
    驾驶员注意力检测综述
  • An Overview of Violence Detection Techniques: Current Challenges and Future Directions
    [2022-09-26]
    
• 视频编码
  • Task Oriented Video Coding: A Survey
    [2022-08-16]
    
• 时序动作分割
  • Temporal Action Segmentation: An Analysis of Modern Technique
    [2022-10-20]
    ⭐code

8.Transformer

• Video Transformers: A Survey
  [2022-01-19]
  
• Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work
  [2022-03-04]
  ⭐code
• Transformers in 3D Point Clouds: A Survey
  [2022-05-17]
  旨在全面介绍为各种任务（如点云分类、分割、目标检测等）设计的 3D Transformers。
• A Comprehensive Survey of Transformers for Computer Vision
  [2022-11-14]
  
• 多模态学习
  • Multimodal Learning with Transformers: A Survey
    [2022-06-15]
    本文对面向多模态数据的Transformer技术进行了全面调查。该调查的主要内容包括 (1)多模态学习、Transformer生态系统和多模态大数据时代的背景，(2)从几何拓扑学的角度对Vanilla Transformer、Vision Transformer和多模态Transformer进行了理论回顾，(3)通过两个重要范式对多模态Transformer的应用进行回顾，即。(4)总结多模态变换器模型和应用的共同挑战和设计，(5)讨论社区的开放问题和潜在研究方向。

7.3D

• Deep Generative Models on 3D Representations: A Survey
  [2022-10-28]
  
• 基于 UAV 的三维重建
  • A Review on Viewpoints and Path-planning for UAV-based 3D Reconstruction
    [2022-05-10]
    
• 深度估计
  • A Survey on RGB-D Datasets
    [2022-01-19]
    
• 三维视觉
  • 3D Vision with Transformers: A Survey
    [2022-08-09]
    ⭐code

6.Face(人脸)

• A Survey on Face Recognition Systems
  [2022-01-11]
  
• A Survey of Face Recognition
  [2022-12-27]
  
• 跨光谱人脸识别
  • Beyond the Visible: A Survey on CFace Recognition
    [2022-01-13]
    
• 口罩人脸检测
  • A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19
    [2022-01-14]
  • A Survey on Computer Vision based Human Analysis in the COVID-19 Era
    [2022-11-08]
• GAN-face检测
  • GAN-generated Faces Detection: A Survey and New Perspectives
    [2022-02-16]
    本次综述旨在对 GAN-face 检测的最新进展进行全面回顾。并着重研究能够检测由 GAN 模型生成或合成的人脸图像的方法。
• 眼周生物识别技术
  • Periocular Biometrics and its Relevance to Partially Masked Faces: A Survey
    [2022-03-30]
• 人脸属性编辑
  • A comprehensive survey on semantic facial attribute editing using generative adversarial networks
    [2022-05-24]
    使用生成式对抗网络进行人脸属性语义编辑的全面调查
• 人脸修复
  • A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal
    [2022-11-08]
    ⭐code
• 面部情绪识别
  • A survey of smart classroom: Concept, technologies and facial emotions recognition application
    [2022-12-06]
• 篡改检测
  • Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection
    [2022-12-13]
• 人脸合成
  • Face Generation and Editing with StyleGAN: A Survey
    [2022-12-20]

5.UAV\Remote Sensing\Satellite Image(无人机\遥感\卫星图像)

• A Survey on Fundamental Concepts and Practical Challenges of Hyperspectral images
  [2022-10-31]
  
• 无人机
  • Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey
    [2022-11-09]
    
  • 空中监测
    • The State of Aerial Surveillance: A Survey
      [2022-01-11]
      从计算机视觉和模式识别的角度对以人为中心的空中监视任务进行全面调研。
• 遥感
  • Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review
    [2022-05-04]
    基于 DL 的多模态RS数据融合的系统概况
  • Transformers in Remote Sensing: A Survey
    [2022-09-05]
    ⭐code
    本篇综述是第一次对遥感中 transformers 的最新进展进行系统的回顾,其中涵盖了60多个最新的基于 transformers 的方法，用于遥感子领域的不同遥感问题：very high-resolution（VHR）、高光谱（HSI）和合成孔径雷达（SAR）图像。
• 张量分解
  • Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review
    [2022-05-16]
    遥感中高光谱数据处理的张量分解
• 树皮甲虫攻击检测
  • Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review
    [2022-10-10]
    

4.Person ReID

• 遮挡行人重识别
  • Deep Learning-based Occluded Person Re-identification: A Survey
    [2022-08-01]
    
• 步态识别
  • Gait Recognition Based on Deep Learning: A Survey
    [2022-01-11]
    本篇综述提供一个关于通过步态识别进行生物识别的最新工作的调查汇编，重点是深度学习方法，强调其优点，并揭露其缺点。此外，它还对数据集、方法和架构进行分类和描述，以解决相关的限制。
• 行人识别
  • A Brief Survey on Person Recognition at a Distance
    [2022-12-20]
    

3.🏥Medical Image(医学影像)

• Deep Learning for Computational Cytology: A Survey
  [2022-02-13]
  本篇综述调研了 120 多篇基于深度学习的方法在计算细胞学中的进展。
• Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
  [2022-03-30]
• Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
  [2022-06-03]
• Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential
  [2022-06-10]
  
• A Review of Causality for Learning Algorithms in Medical Image Analysis
  [2022-06-14]
  
• Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review
  [2022-06-14]
  本文对应用于利用胸部X光图像进行COVID-19检测的ML进行了系统回顾，目的是在方法、架构、数据库和目前的局限性方面为研究人员提供一个基线。
• Texture features in medical image analysis: a survey
  [2022-08-04]
  
• 3D Brain and Heart Volume Generative Models: A Survey
  [2022-10-13]
  ⭐code
• 自动检测
  • Deep Learning Applications for Lung Cancer Diagnosis: A systematic review
    [2022-01-04]
    本篇综述是对深度学习在肺癌自动检测领域应用的全面调研，其中回顾文献是 2016 年至 2021 年该领域的 32 篇会议和期刊文章。
  • AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review
    [2022-01-20]
  • Automated image analysis in large-scale cellular electron microscopy: A literature survey
    [2022-06-16]
    本篇综述回顾了当前自动化计算机技术的最先进水平和细胞EM结构分析的主要挑战。讨论了过去五年中为自动生物医学图像分析而开发的先进的计算机视觉、深度学习和软件工具，涉及到EM数据的标注、分割和可扩展性。自动图像采集和分析的整合将允许对具有纳米级分辨率的毫米级数据集进行高通量分析。
• 胎儿生长监测
  • Towards deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via Ultrasound Images
    [2022-01-21]
    本次调研研究了2010年到2021年之间发表的文献，旨在探索人工智能（AI）如何通过超声（US）图像协助胎儿生长监测。
• 组织病理学分析
  • What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review
    [2022-01-24]
    本篇综述对近年来基于 MV 的图像处理技术在淋巴瘤组织病理学图像中的应用，包括分割、分类和检测进行了全面回顾。
  • Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
    [2022-08-19]
    基于高级深度学习的弱监督、半监督和自监督技术在组织病理学图像分析中的综述
• Transformer
  • Transformers in Medical Imaging: A Survey
    [2022-01-25]
    ⭐code
    本篇综述试图对 Transformer 在医学影像中的应用(分割、检测、分类、重建、合成、配准、临床报告生成等)进行全面回顾，涵盖从近期所提出的架构设计到未解决的问题等各个方面。
  • Transformers in Medical Image Analysis: A Review
    [2022-02-25]
    本文围绕 Transformer 在不同学习范式中的使用、提高模型效率以及与其他技术的耦合等方面的关键挑战进行了全面研究。
  • Vision Transformers in Medical Imaging: A Review
    [2022-11-21]
    
• 加密医疗图像
  • A Survey on Patients Privacy Protection with Stganography and Visual Encryption
    [2022-01-25]
    
  • A Comprehensive Survey on Federated Learning: Concept and Application
    [2022-01-25]
    
• 跨模态脑图像合成
  • A Survey of Cross-Modality Brain Image Synthesis
    [2022-02-16]
    ⭐code
    首个通过考虑监督水平来深入审查跨模态脑图像合成任务的工作，特别是对于无监督和半监督的跨模态合成。
• 微生物
  • A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements
    [2022-02-21]
    本篇文章通过 60 多篇文献对基于 DIP 的微生物生物量测量进行全面回顾。
• 医学数据分析
  • Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey
    [2022-09-21]
    
• 医学图像分析
  • A Survey of Fairness in Medical Image Analysis: Concepts, Algorithms, Evaluations, and Challenges
    [2022-09-28]
    
  • Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
    [2022-10-10]
    
  • A Survey on Causal Representation Learning and Future Work for Medical Image Analysis
    [2022-10-31]
    
  • Diffusion Models for Medical Image Analysis: A Comprehensive Survey
    [2022-11-16]
    ⭐code
• 医学图像配准
  • Medical image registration using unsupervised deep neural network: A scoping literature review
    [2022-08-04]
    
• 医学图像分类
  • Mammograms Classification: A Review
    [2022-03-09]
    
• 医学图像分割
  • U-Net and its variants for Medical Image Segmentation : A short review
    [2022-04-20]
    
  • Application of belief functions to medical image segmentation: A review
    [2022-05-05]
    对使用信任函数理论的医学图像分割方法进行了回顾。
  • A Survey of Left Atrial Appendage Segmentation and Analysis in 3D and 4D Medical Images
    [2022-05-16]
    对三维和四维医学图像（包括CT、MRI和超声心动图图像）上的自动LAA分割方法进行了回顾。
  • Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
    [2022-07-29]
    医学图像分割的深度半监督学习综述
  • Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review
    [2022-08-29]
    本篇综述深入分析了过去五年（2017-2022年）发表的126篇基于人工智能的细胞核和腺体实例分割方法的论文，讨论了当前方法的局限性和公开挑战。
  • Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions
    [2022-09-22]
    ⭐code
  • Medical Image Segmentation Review: The success of U-Net
    [2022-11-29]
    ⭐code
  • 皮损分割
    • A Survey on Deep Learning for Skin Lesion Segmentation
      [2022-06-02]
      对134篇涉及基于深度学习的皮损分割的研究论文调研
    • Skin Lesion Analysis: A State-of-the-Art Survey, Systematic Review, and Future Trends
      [2022-08-26]
      本篇综述对2011年至2020年间发表的尖端CAD技术进行完整的文献回顾，共包 含365 篇出版物，其中221篇用于皮肤病变分割，144篇用于皮肤病变分类。
  • 树状管结构分割
    • Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives
      [2022-07-25]
      本篇综述总结了文献中人体树状结构分割方法的算法、数据集和评价指标。对不同的算法进行了系统的分类，并以表格的形式报告了感兴趣的解剖区域、使用的数据集和性能指标，帮助研究人员更好地了解可用的选择和方法。通过对文献的分析，基于深度学习的分割方法以其捕捉复杂结构中隐藏信息的优势而成为主流。为此，文章中还提出基于深度学习算法、评价指标和损失函数的可行研究方向，以加速人体树状管结构分割方法的发展和完善。
• 乳腺癌检测
  • Breast cancer detection using artificial intelligence techniques: A systematic literature review
    [2022-03-10]
    
• 青光眼自动检测
  • Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review
    [2022-04-13]
    通过对 28 篇相关论文，对产生和使用分割眼底图像的人工智能青光眼检测框架进行了审查。
• 可解释性
  • Explainable Deep Learning Methods in Medical Diagnosis: A Survey
    [2022-05-11]
    
• 微循环图像
  • p Learning and Computer Vision Techniques for Microcirculation Analysis: A Revi
    [2022-05-12]
    本篇文章对50多篇研究论文进行了调查，并提出最相关和最有前途的计算机视觉算法，以实现微循环图像的自动化分析。
• CT
  • A review of Deep learning Techniques for COVID-19 identification on Chest CT images
    [2022-08-02]
    
• 糖尿病视网膜病变筛查
  • A comprehensive survey on computer-aided diagnostic systems in diabetic retinopathy screening
    [2022-08-04]
    
• transformer
  • Medical image analysis based on transformer: A Review
    [2022-08-16]
    transformer在医学影像分析中的应用综述
• 图像计算
  • Multi-Modality Cardiac Image Computing: A Survey
    [2022-08-30]
    本文旨在对心脏病学中的多模态成像、计算方法、验证策略、相关的临床工作流程和未来前景进行全面回顾。
• 微创手术
  • A comprehensive survey on recent deep learning-based methods applied to surgical data
    [2022-09-07]
    
• 医学增强现实
  • The HoloLens in Medicine: A systematic Review and Taxonomy
    [2022-09-08]
    
• MRI
  • Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal
    [2022-09-21]
    
• 阿尔兹海默症自动检测
  • Automated detection of Alzheimer disease using MRI images and deep neural networks- A review
    [2022-09-26]
    
• 冠心病检测
  • A Review of Modern Approaches for Coronary Angiography Imaging Analysis
    [2022-09-29]
    
• X-ray
  • Computer Vision on X-ray Data in Industrial Production and Security Applications: A survey
    [2022-11-11]
    
• 肿瘤生物标志物预测
  • Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review
    [2022-11-29]
    
• 脑年龄估计
  • Deep Learning for Brain Age Estimation: A Systematic Review
    [2022-12-09]
    

2.Scene Graph Generation(场景图生成)

• Scene Graph Generation: A Comprehensive Survey
  [2022-01-04]
  本篇综述对深度学习技术在这一领域所带来的最新成果进行了全面的调查。回顾了138项涵盖不同输入模式的代表性工作，并从特征提取和融合的角度系统地总结了现有的基于图像的SGG方法。

1.Unkown(未分)

• A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends
  [2022-09-15]
  
• Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A Review
  [2022-01-25]
  本篇综述对通过视听特征分析研究自杀意念和自杀行为检测的工作进行了全面调研回顾，主要是自杀性声音/语音声学特征分析和自杀性视觉线索。
• A Review of Emerging Research Directions in Abstract Visual Reasoning
  [2022-02-22]
  
• A systematic review and meta-analysis of Digital Elevation Model (DEM) fusion: pre-processing, methods and applications
• A Review of Mobile Mapping Systems: From Sensors to Applications
  [2022-06-01]
  
• Inconsistencies in Measuring Student Engagement in Virtual Learning -- A Critical Review
  [2022-08-10]
  
• Diffusion Models: A Comprehensive Survey of Methods and Applications
  [2022-09-09]
  
• Data-Free Knowledge Transfer: A Survey
  [2022-01-03]
  本篇综述对 Data-Free 知识迁移进行了全面和结构化的调研。
• Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
  [2022-04-19]
  
• Image Data Augmentation for Deep Learning: A Survey
  [2022-04-20]
  
• The Neural Process Family: Survey, Applications and Perspectives
  [2022-09-02]
  ⭐code
• Handcrafted Feature Selection Techniques for Pattern Recognition: A Survey
  [2022-09-08]
  
• Diffusion Models in Vision: A Survey
  [2022-09-13]
  
• A Survey of Data Optimization for Problems in Computer Vision Datasets
  [2022-10-24]
  ⭐code
• Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing
  [2022-10-31]
  
• On the Robustness of Explanations of Deep Neural Network Models: A Survey
  [2022-11-10]
  
• Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
  [2022-11-16]
  
• A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models
  [2022-11-18]
  
• A review of laser scanning for geological and geotechnical applications in underground mining
  [2022-11-22]
  
• Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey
  [2022-11-29]
  
• Attribution-based XAI Methods in Computer Vision: A Review
  [2022-11-29]
  
• Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
  [2022-12-09]
  
• Deep Learning Methods for Calibrated Photometric Stereo and Beyond: A Survey
  [2022-12-19]
  
• Reasoning with Language Model Prompting: A Survey
  [2022-12-20]
  ⭐code
• A Survey of Deep Learning for Mathematical Reasoning
  [2022-12-21]
  ⭐code
• 城市规划
  • Visual and Object Geo-localization: A Comprehensive Survey
    [2022-01-03]
    本篇综述对涉及图像的地理定位进行了全面的调查，其中包括确定图像的拍摄地点（图像地理定位）或图像中物体的地理定位（物体地理定位）。
• 正则化
  • Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
    [2022-01-11]
    本次调研工作就对过去几年开发的几种正则化方法进行分析，并将调研文献分为“input regularization”、“internal regularization”、“label regularization”三类，且相关文献不超过五年以及所有文献代码都可以在公共资源库中找到。
• 可视化
  • DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization
    [2022-04-14]
    本篇文章是关于 DL4SciVis 的最先进的调研，涵盖了自 2017 年以来沿着六个维度发表的 59 篇论文，对其相似性和差异性进行了深入讨论，确定其趋势和差距，并概述了研究机会和公开挑战。
• 扩散模型
  • Efficient Diffusion Models for Vision: A Survey
    [2022-10-18]
    

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