microsoft / random_quantize
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
- Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.☆104Updated last year
- ☆85Updated last year
- ☆58Updated 2 years ago
- Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)☆100Updated 10 months ago
- Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer☆71Updated 2 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆104Updated last year
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆60Updated 11 months ago
- A Siamese self-supervised pretraining approach for the Transformer architecture in DETR☆36Updated last year
- (CVPR2022) Official PyTorch Implementation of KDEP. Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-eff…☆61Updated 2 years ago
- ☆57Updated 2 years ago
- Official Implementation of DE-DETR and DELA-DETR in "Towards Data-Efficient Detection Transformers"☆78Updated last year
- Pytorch implementation of our paper accepted by ECCV2022 -- Knowledge Condensation Distillation https://arxiv.org/abs/2207.05409☆30Updated 2 years ago
- Codes for ECCV2022 paper - contrastive deep supervision☆68Updated 2 years ago
- Official Pytorch implementation of Super Vision Transformer (IJCV)☆43Updated last year
- Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"☆186Updated 11 months ago
- Official implementation for paper "LightViT: Towards Light-Weight Convolution-Free Vision Transformers"☆139Updated 2 years ago
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆139Updated last year
- ☆57Updated 3 years ago
- (AAAI 2023 Oral) Pytorch implementation of "CF-ViT: A General Coarse-to-Fine Method for Vision Transformer"☆103Updated last year
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆63Updated 2 years ago
- ☆25Updated 2 years ago
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆74Updated last year
- [AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"☆96Updated 2 years ago
- Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.☆82Updated last year
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆75Updated last year
- PyTorch implementation of PaCa-ViT (CVPR'23)☆28Updated last year
- Official Implementation of AlignMixup - CVPR 2022☆72Updated 2 years ago
- ☆76Updated 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
- [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction☆47Updated last year