junchen14 / LoMaR
LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)
☆62Updated 2 years ago
Alternatives and similar repositories for LoMaR:
Users that are interested in LoMaR are comparing it to the libraries listed below
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆103Updated last year
- Official codes for ConMIM (ICLR 2023)☆58Updated last year
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆134Updated last year
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆52Updated last year
- [CVPR'23] Hard Patches Mining for Masked Image Modeling☆89Updated last year
- ☆57Updated last year
- ☆25Updated last year
- ☆58Updated 2 years ago
- TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)☆93Updated 2 years ago
- Official implementation of the paper ``Weakly Supervised Object Localization as Domain Adaption"☆49Updated 2 years ago
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆82Updated 2 years ago
- [CVPR2022] Official Implementation of the paper 'Learning Where to Learn in Cross-View Self-Supervised Learning'☆27Updated 2 years ago
- [NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.☆173Updated 2 years ago
- [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction☆46Updated last year
- [CVPR 2023]Implementation of Siamese Image Modeling for Self-Supervised Vision Representation Learning☆35Updated 7 months ago
- Official Implementation of "FP-DETR: Detection Transformer Advanced by Fully Pre-training"☆61Updated 2 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆77Updated 2 years ago
- FastMIM, official pytorch implementation of our paper "FastMIM: Expediting Masked Image Modeling Pre-training for Vision"(https://arxiv.o…