Alternatives and similar repositories for COOD_benchmarking

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

• ajaysub110 / critical-band-masking
  Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"
  ☆12Updated 2 years ago
• paulgavrikov / vlm_shapebias
  Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).
  ☆27Updated 10 months ago
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆40Updated last year
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆54Updated last year
• lisadunlap / ALIA
  Augmenting with Language-guided Image Augmentation (ALIA)
  ☆80Updated 2 years ago
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆61Updated 2 years ago
• YorkUCVIL / VCC
  Visual Concept Connectome
  ☆14Updated last year
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆49Updated last year
• khanrc / miro
  Official PyTorch implementation of MIRO (ECCV 2022)
  ☆88Updated 3 years ago
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago
• nis-research / nn-frequency-shortcuts
  Frequency Shortcuts in Neural Networks
  ☆21Updated last year
• spetryk / GALS
  ☆13Updated 3 years ago
• GeorgeCazenavette / glad
  ☆115Updated 2 years ago
• deeplearning-wisc / large_scale_ood
  MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
  ☆96Updated 4 years ago
• j-cb / NINCO
  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"
  ☆26Updated 2 years ago
• wbw520 / BotCL
  Learning Bottleneck Concepts in Image Classification (CVPR 2023)
  ☆41Updated 2 years ago
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆84Updated 2 years ago
• zju-vipa / ProtoPFormer
  ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
  ☆40Updated 3 years ago
• zhihengli-UR / DebiAN
  Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
  ☆25Updated 2 years ago
• BierOne / ood_coverage
  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  ☆32Updated last year
• virajprabhu / LANCE
  LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
  ☆32Updated 2 years ago
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆51Updated 2 years ago
• moboehle / B-cos
  B-cos Networks: Alignment is All we Need for Interpretability
  ☆112Updated 2 years ago
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆124Updated 3 years ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆72Updated 7 months ago
• abonte / protopdebug
  Implementation of Concept-level Debugging of Part-Prototype Networks
  ☆12Updated 2 years ago
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆57Updated 8 months ago
• bethgelab / robustness
  Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
  ☆137Updated 2 years ago
• locuslab / FLYP
  Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
  ☆104Updated 2 years ago
• AntonotnaWang / HINT
  [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer
  ☆20Updated 2 years ago