Alternatives and similar repositories for discover_unknown_biases

Users that are interested in discover_unknown_biases are comparing it to the libraries listed below

• princetonvisualai / gan-debiasing
  Fair Attribute Classification through Latent Space De-biasing (CVPR 2021)
  ☆74Updated 4 years ago
• Simon4Yan / Meta-set
  Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22
  ☆36Updated 2 years ago
• Wangt-CN / EqInv
  [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"
  ☆19Updated 2 years ago
• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 3 years ago
• Newbeeyoung / Video-Corruption-Robustness
  ☆20Updated 3 years ago
• youjiangxu / FaMUS
  ☆28Updated 3 years ago
• sungho-CoolG / FSCL
  ☆38Updated 3 years ago
• HaohanWang / PAR_experiments
  Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))
  ☆18Updated 2 years ago
• Phoenix1153 / ViT_OOD_generalization
  ☆85Updated 3 years ago
• naver / cog
  ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations wh…
  ☆25Updated 3 years ago
• zhuxinqimac / PS-SC
  Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.
  ☆44Updated 3 years ago
• LiYingwei / ShapeTextureDebiasedTraining
  Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)
  ☆108Updated 2 years ago
• alinlab / BAR
  The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…
  ☆33Updated 4 years ago
• uvavision / Balanced-Datasets-Are-Not-Enough
  [ICCV 2019] Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
  ☆31Updated 4 years ago
• NVlabs / CSG
  ☆28Updated 4 years ago
• razvancaramalau / Visual-Transformer-for-Task-aware-Active-Learning
  ☆26Updated 3 years ago
• Simon4Yan / Accuracy-estimation-with-self-supervision
  [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision
  ☆27Updated 3 years ago
• RayDeeA / ibinn_imagenet
  ☆24Updated 4 years ago
• princetonvisualai / DomainBiasMitigation
  ☆74Updated 5 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆51Updated 4 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆39Updated 3 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated 2 years ago
• zhihengli-UR / DebiAN
  Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
  ☆25Updated 2 years ago
• alsdml / StyleMix
  ☆33Updated 4 years ago
• dnap512 / SelfReg
  PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]
  ☆77Updated 3 years ago
• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 4 years ago
• Jingkang50 / ICCV21_SCOOD
  The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
  ☆70Updated 3 years ago
• deeplearning-wisc / vit-spurious-robustness
  ☆27Updated 2 years ago
• princetonvisualai / HIVE
  HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)
  ☆20Updated 2 years ago