yueliukth / PatchDropoutLinks
☆19Updated 2 years ago
Alternatives and similar repositories for PatchDropout
Users that are interested in PatchDropout are comparing it to the libraries listed below
Sorting:
- ☆32Updated last year
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 3 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆35Updated 2 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆54Updated last year
- PyTorch implementation of Semi-supervised Vision Transformers☆60Updated 2 years ago
- ImageNetV2 Pytorch Dataset☆41Updated 2 years ago
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 2 years ago
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆40Updated 2 years ago
- A Contrastive Learning Boost from Intermediate Pre-Trained Representations☆43Updated last year
- [CVPR 2023] Learning Visual Representations via Language-Guided Sampling☆148Updated 2 years ago
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆24Updated 2 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- understanding model mistakes with human annotations☆106Updated 2 years ago
- ☆67Updated 2 years ago
- Code release for "Semi-supervised learning made simple with self-supervised clustering"☆60Updated 2 years ago
- Official codes: Self-Supervised Learning by Estimating Twin Class Distribution☆100Updated 3 years ago
- ☆64Updated 3 years ago
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆82Updated last year
- ☆31Updated 4 months ago
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated 2 years ago
- Visualizing representations with diffusion based conditional generative model.☆100Updated 2 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆152Updated 3 years ago
- Original code base for On Pretraining Data Diversity for Self-Supervised Learning☆14Updated 8 months ago
- PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411☆114Updated 2 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆40Updated 2 years ago
- PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482☆103Updated 4 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".☆33Updated 6 months ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆29Updated 2 years ago