ucasligang / awesome-MIMLinks
Reading list for research topics in Masked Image Modeling
☆336Updated 8 months ago
Alternatives and similar repositories for awesome-MIM
Users that are interested in awesome-MIM are comparing it to the libraries listed below
Sorting:
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆199Updated 2 years ago
- ConvMAE: Masked Convolution Meets Masked Autoencoders☆508Updated 2 years ago
- [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"☆367Updated 2 years ago
- ☆261Updated 2 years ago
- [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning☆288Updated 3 years ago
- [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching☆253Updated last year
- Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"☆243Updated 2 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆107Updated 2 years ago
- Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)☆166Updated 2 years ago
- reproduction of semantic segmentation using masked autoencoder (mae)☆164Updated 3 years ago
- Exploring Visual Prompts for Adapting Large-Scale Models☆282Updated 3 years ago
- [CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting☆536Updated last year
- Official Open Source code for "Scaling Language-Image Pre-training via Masking"☆426Updated 2 years ago
- Official implementation and data release of the paper "Visual Prompting via Image Inpainting".☆311Updated 2 years ago
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆144Updated 2 years ago
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆83Updated 3 years ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆234Updated last year
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆406Updated 11 months ago
- Is synthetic data from generative models ready for image recognition?☆183Updated 2 years ago
- [Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)☆343Updated 4 months ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆185Updated last year
- CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522☆251Updated 2 years ago
- ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining☆97Updated 2 years ago
- Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations☆191Updated last year
- [ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition☆292Updated last year
- Unofficial code for VPT(Visual Prompt Tuning) paper of arxiv 2203.12119☆162Updated 2 years ago
- The codes for TCFormer in paper: Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer☆241Updated last year
- Open-vocabulary Semantic Segmentation☆179Updated 2 years ago
- Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)☆254Updated last month
- (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping☆97Updated 5 months ago