Alternatives and similar repositories for CBS:

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

• pedro-morgado / nettailor
  Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."
  ☆52Updated 3 years ago
• Phoenix1153 / ViT_OOD_generalization
  ☆84Updated 2 years ago
• VITA-Group / CV_LTH_Pre-training
  [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…
  ☆68Updated 2 years ago
• Simon4Yan / Meta-set
  Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22
  ☆36Updated 2 years ago
• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 4 years ago
• ermongroup / NDA
  ☆23Updated 3 years ago
• GT-RIPL / DomainGeneralization-Stylization
  PyTorch code for: Frustratingly Simple Domain Generalization via Image Stylization
  ☆24Updated 4 years ago
• bethgelab / game-of-noise
  Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…
  ☆61Updated last year
• wanggrun / triplet
  Code of the paper "Solving Inefficiency of Self-supervised Representation Learning"
  ☆38Updated 2 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆103Updated 3 years ago
• wvangansbeke / Revisiting-Contrastive-SSL
  Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
  ☆88Updated 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
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 4 years ago
• bfshi / InfoDrop
  Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)
  ☆125Updated 2 years ago
• bl0 / PIC
  Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020
  ☆52Updated 3 years ago
• alldbi / SuperMix
  Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
  ☆92Updated 3 years ago
• DTennant / CL-Visualizing-Feature-Transformation
  Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral
  ☆90Updated 3 years ago
• VITA-Group / AugMax
  [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…
  ☆125Updated 3 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆38Updated 3 years ago
• LiYingwei / ShapeTextureDebiasedTraining
  Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)
  ☆108Updated last year
• Newbeeyoung / Video-Corruption-Robustness
  ☆20Updated 3 years ago
• Boyiliee / MoEx
  MoEx (Moment Exchange)
  ☆142Updated 3 years ago
• meijieru / fast_advprop
  [ICLR 2022]: Fast AdvProp
  ☆34Updated 2 years ago
• minyoungg / wmigftl
  models and tools for -What makes ImageNet good for Transfer Learning?
  ☆25Updated 7 years ago
• dvirsamuel / DRAGON
  [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"
  ☆28Updated 3 years ago
• facebookresearch / augmentation-corruption
  This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".
  ☆45Updated 2 years ago
• caiqi / Joint-Contrastive-Learning
  ☆42Updated 4 years ago
• ExplainableML / LanguageGuidance_for_DML
  This repository contains the code for our CVPR 2022 paper on "Integrating Language Guidance into Vision-based Deep Metric Learning".
  ☆43Updated 2 years ago
• HaohanWang / PAR_experiments
  Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))
  ☆18Updated 2 years ago
• hankook / AugSelf
  ☆44Updated 3 years ago