bfshi / VARS
Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)
☆35Updated 2 years ago
Alternatives and similar repositories for VARS:
Users that are interested in VARS are comparing it to the libraries listed below
- This is a offical PyTorch/GPU implementation of SupMAE.☆77Updated 2 years ago
- ☆34Updated last year
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆28Updated last year
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 11 months ago
- ImageNetV2 Pytorch Dataset☆40Updated last year
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆36Updated 8 months ago
- ☆24Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- ☆32Updated 11 months ago
- This repository contains the code for our CVPR 2022 paper on "Non-isotropy Regularization for Proxy-based Deep Metric Learning".☆14Updated 2 years ago
- PyTorch implementation of Refine and Represent: Region-to-Object Representation Learning.☆21Updated 2 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆49Updated 2 years ago
- ☆26Updated 3 years ago
- Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.☆24Updated 3 years ago
- This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …☆68Updated 3 years ago
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆19Updated 3 months ago
- Reproducing Raghu et al 2021 - Do Vision Transformers See Like Convolutional Neural Networks?☆15Updated 3 years ago
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆33Updated last year
- Patching open-vocabulary models by interpolating weights☆91Updated last year
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆38Updated 3 years ago
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆53Updated last year
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- Create generated datasets and train robust classifiers☆34Updated last year
- ☆13Updated 2 years ago
- ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models☆36Updated last year
- Code for Point-Level Regin Contrast (https//arxiv.org/abs/2202.04639)☆35Updated 2 years ago
- official pytorch implementation of Tobias: A random CNN sees objects and its applications in self-supervised learning.☆28Updated 3 years ago