microsoft / random_quantizeLinks
a novel data augmentation method across data modalities
☆72Updated last year
Alternatives and similar repositories for random_quantize
Users that are interested in random_quantize are comparing it to the libraries listed below
Sorting:
- (AAAI 2023 Oral) Pytorch implementation of "CF-ViT: A General Coarse-to-Fine Method for Vision Transformer"☆105Updated 2 years ago
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆65Updated 5 months ago
- ☆57Updated 3 years ago
- Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.☆105Updated 2 years ago
- [ECCV 2022] Implementation of the paper "Locality Guidance for Improving Vision Transformers on Tiny Datasets"☆80Updated 3 years ago
- [CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".☆247Updated 2 years ago
- Official Codes and Pretrained Models for Dynamic MLP, CVPR2022, https://arxiv.org/abs/2203.03253☆87Updated 3 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆106Updated 2 years ago
- Official implementation for paper "LightViT: Towards Light-Weight Convolution-Free Vision Transformers"☆140Updated 3 years ago
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆144Updated 2 years ago
- ☆87Updated 2 years ago
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆198Updated 2 years ago
- [NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.☆173Updated 2 years ago
- Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)☆104Updated last year
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining☆102Updated 5 months ago
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆61Updated last year
- ImageNet-1K data download, processing for using as a dataset☆109Updated 2 years ago
- Codes for ECCV2022 paper - contrastive deep supervision☆69Updated 3 years ago
- A Close Look at Spatial Modeling: From Attention to Convolution☆91Updated 2 years ago
- FastMIM, official pytorch implementation of our paper "FastMIM: Expediting Masked Image Modeling Pre-training for Vision"(https://arxiv.o…☆39Updated 2 years ago
- ☆62Updated 2 years ago
- [CVPR 2022] This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers.☆155Updated 2 years ago
- PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411☆114Updated 2 years ago
- Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.☆84Updated last year
- Official Implementation of AlignMixup - CVPR 2022☆71Updated 3 years ago
- 'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)☆238Updated last year
- ☆91Updated 2 years ago
- TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)☆94Updated 3 years ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆89Updated last year
- This repository contains the pytorch code for our work IEEE ISBI 2024 paper "ConvLoRA and AdaBN Based Domain Adaptation via Self-Training…☆83Updated 11 months ago