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
☆81Updated 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:
- Denoising Masked Autoencoders Help Robust Classification.☆67Updated 2 years ago
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 3 years ago
- open source the research work for published on arxiv. https://arxiv.org/abs/2106.02689☆53Updated 3 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆79Updated 3 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated 2 years ago
- [ICDM 2023] Momentum is All You Need for Data-Driven Adaptive Optimization☆26Updated last year
- ☆27Updated 3 years ago
- [NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.☆61Updated last year
- A simple minimal implementation of Reversible Vision Transformers☆126Updated last year
- ☆63Updated 2 years ago
- ☆22Updated 3 years ago
- Recent Advances in MLP-based Models (MLP is all you need!)☆117Updated 2 years ago
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆79Updated 2 years ago
- ResMLP: Feedforward networks for image classification with data-efficient training☆45Updated 4 years ago
- Implementation of HAT https://arxiv.org/pdf/2204.00993☆51Updated last year
- [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"☆58Updated 2 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆26Updated last year
- Description: Frequency Augmented Variational Autoencoder for better Image Reconstruction☆44Updated 2 years ago
- [AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"☆97Updated 3 years ago
- (Unofficial) PyTorch implementation of the paper Early Convolutions Help Transformers See Better☆43Updated 4 years ago
- Official code for ICCV 2023 paper "Convolutional Networks with Oriented 1D Kernels"☆47Updated last year
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"☆38Updated 4 years ago
- Transformers w/o Attention, based fully on MLPs☆95Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆89Updated 2 years ago
- [WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tian…☆52Updated 3 years ago
- Repository containing code for blockwise SSL training☆30Updated last year
- Log-Polar Space Convolution for Convolutional Neural Networks☆13Updated 2 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆88Updated 9 months ago
- [CVPR2022 - Oral] Official Jax Implementation of Learned Queries for Efficient Local Attention☆118Updated 3 years ago
- Pytorch implementation of TDPM☆36Updated 2 years ago