yueliukth / PatchDropoutLinks
☆18Updated 2 years ago
Alternatives and similar repositories for PatchDropout
Users that are interested in PatchDropout are comparing it to the libraries listed below
Sorting:
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- ☆32Updated last year
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆35Updated last year
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆49Updated 2 years ago
- A Contrastive Learning Boost from Intermediate Pre-Trained Representations☆41Updated 8 months ago
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆24Updated 2 years ago
- ☆14Updated 2 years ago
- Local Temperature Scaling for Probability Calibration☆21Updated 3 years ago
- ☆13Updated 2 years ago
- [ECCV2022] Revisiting the Critical Factors of Augmentation-Invariant Representation Learning☆12Updated 2 years ago
- ☆12Updated 3 years ago
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆19Updated 2 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- Fast, Simple and Easy to use SOTA Self-Supervised Image Classification Models in PyTorch☆17Updated 3 years ago
- ImageNetV2 Pytorch Dataset☆41Updated 2 years ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆28Updated last year
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆54Updated 9 months ago
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆38Updated last year
- An official PyTorch implementation for CLIPPR☆29Updated last year
- Visual Representation Learning Benchmark for Self-Supervised Models☆36Updated last year
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- ☆63Updated 2 years ago
- ☆22Updated 4 months ago
- HIRL: A General Framework for Hierarchical Image Representation Learning (http://arxiv.org/abs/2205.13159)☆40Updated 2 years ago
- Original code base for On Pretraining Data Diversity for Self-Supervised Learning☆13Updated 5 months ago
- Official code for "Mean Shift for Self-Supervised Learning"☆56Updated 3 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
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- ☆21Updated 3 months ago
- Create generated datasets and train robust classifiers☆35Updated last year