VITA-Group / ViT-Anti-OversmoothingLinks
[ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
☆82Updated last year
Alternatives and similar repositories for ViT-Anti-Oversmoothing
Users that are interested in ViT-Anti-Oversmoothing are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 2 years ago
- Denoising Masked Autoencoders Help Robust Classification.☆67Updated 2 years ago
- open source the research work for published on arxiv. https://arxiv.org/abs/2106.02689☆51Updated 3 years ago
- A simple minimal implementation of Reversible Vision Transformers☆126Updated last year
- [ICDM 2023] Momentum is All You Need for Data-Driven Adaptive Optimization☆27Updated last year
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆78Updated 2 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"☆38Updated 4 years ago
- A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…☆78Updated 2 years ago
- ☆27Updated 3 years ago
- ☆22Updated 3 years ago
- ☆63Updated 2 years ago
- ☆25Updated 3 years ago
- Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"☆66Updated 3 years ago
- Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.☆44Updated last year
- Implementation of HAT https://arxiv.org/pdf/2204.00993☆51Updated last year
- (Unofficial) PyTorch implementation of the paper Early Convolutions Help Transformers See Better☆43Updated 4 years ago
- [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"☆58Updated 2 years ago
- [CVPR 2024] VkD : Improving Knowledge Distillation using Orthogonal Projections☆56Updated last year
- [CVPR2022 - Oral] Official Jax Implementation of Learned Queries for Efficient Local Attention☆118Updated 3 years ago
- [NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.☆61Updated last year
- Visualizing representations with diffusion based conditional generative model.☆102Updated 2 years ago
- The official github repo for "Test-Time Training with Masked Autoencoders"☆88Updated last year
- Log-Polar Space Convolution for Convolutional Neural Networks☆12Updated 2 years ago
- ResMLP: Feedforward networks for image classification with data-efficient training☆45Updated 4 years ago
- [AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"☆97Updated 3 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆144Updated 9 months ago
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆41Updated 2 years ago
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆125Updated 3 years ago
- A Close Look at Spatial Modeling: From Attention to Convolution☆91Updated 2 years ago