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self-supervision

Here are 28 public repositories matching this topic...

monodepth2

nianticlabs / monodepth2

[ICCV 2019] Monocular depth estimation from a single image

computer-vision deep-learning neural-network pytorch depth-estimation monodepth self-supervision

Updated Aug 10, 2024
Jupyter Notebook

siyuanliii / masa

Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything

self-supervision tracking-everything

Updated Nov 7, 2024
Python

sayakpaul / probing-vits

Probing the representations of Vision Transformers.

tensorflow keras transformers attention image-recognition self-supervision pre-training vits explaining-vits

Updated Oct 5, 2022
Jupyter Notebook

liuyang-ict / awesome-visual-transformers

[TNNLS] A Comprehensive Survey of Awesome Visual Transformer Literatures.

detection point-cloud transformer classification segmentation multi-modal self-supervision multi-sensor-fusion

Updated Apr 22, 2023

HazyResearch / bootleg

Self-Supervision for Named Entity Disambiguation at the Tail

machine-learning ai named-entity-disambiguation self-supervision

Updated Jun 14, 2022
Python

ifnspaml / SGDepth

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

depth-estimation depth-prediction multitask-learning self-supervision monocular-depth-estimation sgdepth depth-from-single-images

Updated Mar 1, 2021
Python

depth-hints

nianticlabs / depth-hints

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

computer-vision deep-learning neural-network pytorch stereo-matching depth-estimation monodepth self-supervision

Updated May 17, 2021
Jupyter Notebook

Shen-Lab / SS-GCNs

[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

graph-convolutional-networks self-supervision graph-neural-networks self-supervised-learning

Updated Jun 10, 2021
Python

Shen-Lab / GraphCL_Automated

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

automated-machine-learning self-supervision graph-neural-networks self-supervised-learning

Updated Sep 9, 2024
Python

ShuweiShao / AF-SfMLearner

[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

computer-vision deep-learning pytorch pose-estimation depth-estimation monodepth endoscopy self-supervision brightness-calibration

Updated Jul 2, 2024
Python

neuroethology / TREBA

Learning trajectory representations using self-supervision and programmatic supervision.

behavior classification representation-learning self-supervision trajectory-representation

Updated Sep 14, 2022
Python

jtchen0528 / PCL-I2G

Unofficial Implementation: Learning Self-Consistency for Deepfake Detection

consistency pytorch deepfakes self-supervision faceforensics deepfake-detection

Updated May 19, 2022
Python

gkordo / s2vs

Authors official PyTorch implementation of the "Self-Supervised Video Similarity Learning" [CVPRW 2023]

video-search duplicate-videos self-supervision video-detection self-supervised-learning video-similarity-search video-retrieval ndvr fivr video-similarity-learning video-similarity

Updated Nov 25, 2023
Python

WeizmannVision / SelfSuperReconst

Self-Supervised RGBD Reconstruction from Brain Activity

image-reconstruction fmri depth-estimation mind-reading self-supervision brain-decoding

Updated Jun 6, 2022
Python

snap-research / non-contrastive-link-prediction

[ICLR 2023] Link Prediction with Non-Contrastive Learning

deep-learning scalability link-prediction self-supervision graph-neural-networks self-supervised-learning gnn efficient-training non-contrastive-learning

Updated Jan 13, 2023
Python

neerajwagh / eeg-self-supervision

Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!

machine-learning deep-learning neural-network domain-driven-design neuroscience eeg eeg-signals convolutional-neural-networks transfer-learning representation-learning unsupervised-learning biosignals multi-task-learning eeg-classification self-supervision self-supervised-learning electroencephalogram electrophysiological-data ml4h neurips-2021

Updated Jul 12, 2023
Python

smallsmallstrong / Master-Thesis---Federated-Transfer-Learning-with-Multimodal-Data

This is the code for my master thesis.

python pytorch federated-learning self-supervision federated-transfer-learning

Updated Aug 18, 2022
Jupyter Notebook

pxl-th / Monodepth2.jl

Self-supervised monocular depth estimation

flux machine-learning computer-vision deep-learning julia-language neural-networks depth-estimation monodepth self-supervised self-supervision monodepth2

Updated Feb 7, 2022
Julia

FinnBehrendt / Unsupervised-Anomaly-Detection-in-Brain-MRI

A Collection of Data sets and Approaches to UAD in Brain MRI.

review generative-model awesome-list brain-mri anomaly-detection self-supervision unsupervised-anomaly-detection

Updated Apr 29, 2024

rsmbyk / objects-that-sound

Implementation of `Objects that Sound` and `Look, Listen, and Learn` papers by Relja Arandjelovi´c and Andrew Zisserman

deep-learning convolutional-neural-networks cross-modal self-supervision audio-visual-correspondence

Updated Sep 25, 2020
Python

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