xxxnell / spatial-smoothingLinks
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
☆79Updated 3 years ago
Alternatives and similar repositories for spatial-smoothing
Users that are interested in spatial-smoothing are comparing it to the libraries listed below
Sorting:
- Learning Features with Parameter-Free Layers, ICLR 2022☆84Updated 2 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆79Updated 3 years ago
- ☆90Updated 3 years ago
- [ECCV2024][ICCV2023] Official PyTorch implementation of SeiT++ and SeiT☆56Updated last year
- ☆19Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- Whitening for Self-Supervised Representation Learning | Official repository☆134Updated 2 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆110Updated 3 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆114Updated 2 years ago
- ☆33Updated 3 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆42Updated 2 years ago
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆50Updated 3 years ago
- SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition (ICCV 2021)☆98Updated 3 years ago
- ☆85Updated 3 years ago
- Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022☆40Updated 2 years ago
- Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…☆102Updated 3 years ago
- ☆38Updated 2 years ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆156Updated 4 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 4 years ago
- Stochastic Optimization for Global Contrastive Learning without Large Mini-batches☆20Updated 2 years ago
- [ICLR 2023] RC-MAE☆53Updated 2 years ago
- ☆58Updated 2 years ago
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆84Updated last year
- ☆22Updated 3 years ago
- [ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang☆65Updated last year
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆55Updated last year
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 4 years ago
- ☆65Updated 3 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 3 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆175Updated last year