xxxnell / spatial-smoothingLinks
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
☆78Updated 2 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
- ☆89Updated 2 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- ☆45Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆36Updated last year
- ☆21Updated 2 years ago
- [ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang☆64Updated 8 months ago
- ☆33Updated 2 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆40Updated 2 years ago
- [ECCV2024][ICCV2023] Official PyTorch implementation of SeiT++ and SeiT☆55Updated 9 months ago
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆48Updated 2 years ago
- Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022☆39Updated 2 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- ImageNet-12k subset of ImageNet-21k (fall11)☆21Updated last year
- Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.☆145Updated 3 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- ☆84Updated 3 years ago
- ☆48Updated 2 years ago
- ☆38Updated last year
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆159Updated 3 years ago
- ☆60Updated last year
- ☆63Updated 2 years ago
- ☆19Updated last year
- Learning Debiased and Disentangled Representations for Semantic Segmentation (NeurIPS 2021)☆13Updated 3 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆29Updated 2 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆12Updated last year
- ☆58Updated 2 years ago