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Awesome Causality in Computer Vision Awesome

A curated list of causality in computer vision. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awesome-deep-learning-papers and Awesome-NAS.

Please feel free to pull requests or open an issue to add papers.

Table of Contents

Type of Causality in CV

Type IT CF CR O
Explanation Intervention Counterfactual Causal Representation Other Types

2021

Title Venue Type Code
Transporting Causal Mechanisms for Unsupervised Domain Adaptation ICCV O PyTorch(Author)
Causal Attention for Unbiased Visual Recognition ICCV IT PyTorch(Author)
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions ICCV IT/CR -
Human Trajectory Prediction via Counterfactual Analysis ICCV CF PyTorch(Author)
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification ICCV CF PyTorch(Author)
Counterfactual VQA: A Cause-Effect Look at Language Bias CVPR CF PyTorch(Author)
Counterfactual Zero-Shot and Open-Set Visual Recognition CVPR CF PyTorch(Author)
Distilling Causal Effect of Data in Class-Incremental Learning CVPR CF PyTorch(Author)
Causal Attention for Vision-Language Tasks CVPR IT PyTorch(Author)
The Blessings of Unlabeled Background in Untrimmed Videos CVPR CF -
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality CVPR O PyTorch(Author)
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models CVPR CR -
Generative Interventions for Causal Learning CVPR CR PyTorch(Author)
ACRE: Abstract Causal REasoning Beyond Covariation CVPR O PyTorch(Author)
Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR CF PyTorch(Author)
Interventional Video Grounding With Dual Contrastive Learning CVPR IT -
Representation Learning via Invariant Causal Mechanisms ICLR CR -
Counterfactual Generative Networks ICLR CF PyTorch(Author)

2020

Title Venue Type Code
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding NeurIPS CF -
A causal view of compositional zero-shot recognition NeurIPS IT -
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen NeurIPS CF -
Causal Intervention for Weakly-Supervised Semantic Segmentation NeurIPS IT PyTorch(Author)
Interventional Few-Shot Learning NeurIPS IT PyTorch(Author)
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect NeurIPS CF PyTorch(Author)
Traffic Accident Benchmark for Causality Recognition ECCV O PyTorch(Author)
Towards causal benchmarking of bias in face analysis algorithms ECCV O PyTorch(Author)
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision ECCV CF -
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling ECCV CF -
Visual Commonsense R-CNN CVPR CR/IT PyTorch(Author)
Unbiased scene graph generation from biased training CVPR CF PyTorch(Author)
Two causal principles for improving visual dialog CVPR IT PyTorch(Author)
Counterfactual samples synthesizing for robust visual question answering CVPR CF PyTorch(Author)
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing CVPR CF PyTorch(Author)
Counterfactuals uncover the modular structure of deep generative models ICLR CF -
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning ICLR CF -

Before 2020

Title Venue Type Code
Counterfactual Visual Explanations ICML2019 CF -
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training ICLR2018 O PyTorch(Author)
Discovering causal signals in images CVPR2017 O TensorFlow(3rd)

Arxiv

Title Venue Type Code
Learning Causal Semantic Representation for Out-of-Distribution Prediction Arxiv CR -
ECINN: Efficient Counterfactuals from Invertible Neural Networks Arxiv CF -
A Structural Causal Model for MR Images of Multiple Sclerosis Arxiv CF -
Counterfactual Variable Control for Robust and Interpretable Question Answering Arxiv CF PyTorch(Author)
Deconfounded Image Captioning: A Causal Retrospect Arxiv IT -
Latent Causal Invariant Model Arxiv O -

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