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 2 years ago
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 3 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☆53Updated 3 years ago
- [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"☆58Updated 2 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆79Updated 3 years ago
- [NeurIPS2022] FreGAN: Exploiting Frequency Components for Training GANs under Limited Data☆57Updated 3 years ago
- [ICDM 2023] Momentum is All You Need for Data-Driven Adaptive Optimization☆26Updated last year
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"☆38Updated 4 years ago
- A simple minimal implementation of Reversible Vision Transformers☆126Updated last year
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆67Updated 2 years ago
- ☆22Updated 3 years ago
- [WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tian…☆51Updated 4 years ago
- ☆63Updated 2 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆26Updated last year
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆127Updated 3 years ago
- A torch-based implementation of K-Means and K-Means++☆17Updated 5 years ago
- ☆44Updated 3 months ago
- Log-Polar Space Convolution for Convolutional Neural Networks☆13Updated 3 years ago
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆80Updated 2 years ago
- ☆27Updated 3 years ago
- [NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.☆61Updated last year
- [ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'☆27Updated last year
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆89Updated 11 months ago
- ☆25Updated 4 years ago
- Implementation of HAT https://arxiv.org/pdf/2204.00993☆51Updated last year
- code for paper "Masked Frequency Modeling for Self-Supervised Visual Pre-Training" (https://arxiv.org/pdf/2206.07706.pdf)☆25Updated 2 years ago
- ☆54Updated 4 years ago
- Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens☆42Updated 9 months ago
- A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…☆79Updated 2 years ago