ZhichengHuang / CMAE
The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745
☆100Updated last year
Alternatives and similar repositories for CMAE:
Users that are interested in CMAE are comparing it to the libraries listed below
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆75Updated 2 years ago
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling☆93Updated 3 weeks ago
- ☆59Updated 2 years ago
- [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction☆48Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆82Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆106Updated last year
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆107Updated last year
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆60Updated last year
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆142Updated last year
- [ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling☆72Updated last year
- Codes for ECCV2022 paper - contrastive deep supervision☆69Updated 2 years ago
- [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.☆76Updated 9 months ago
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆108Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆77Updated last year
- [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning☆61Updated last year
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆196Updated 2 years ago
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆63Updated last month
- Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders☆108Updated 3 weeks ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆161Updated last year
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆68Updated last year
- (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping☆97Updated last month
- Pytorch implementation of Swin MAE https://arxiv.org/abs/2212.13805☆85Updated last year
- ☆109Updated last year
- PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes☆62Updated last year
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆36Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864