yossigandelsman / test_time_training_maeLinks
The official github repo for "Test-Time Training with Masked Autoencoders"
☆87Updated last year
Alternatives and similar repositories for test_time_training_mae
Users that are interested in test_time_training_mae are comparing it to the libraries listed below
Sorting:
- ☆113Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated last year
- On-Device Domain Generalization☆45Updated 2 years ago
- Revisiting Test Time Adaptation Under Online Evaluation☆33Updated last year
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆78Updated 2 years ago
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆61Updated last year
- (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping☆97Updated 6 months ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆107Updated 2 years ago
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆175Updated 2 years ago
- [ICCV 2023] New framework: Domain adaptation using a single prompt. Main contribution: Prompt-driven Instance Normalization (PIN)☆122Updated 6 months ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆82Updated last year
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 2 years ago
- ☆22Updated 4 years ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆48Updated 2 years ago
- Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers. Jochem Loedeman, Maarten C. Stol, Tengda Han, Yuki M…☆42Updated last year
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆76Updated 2 years ago
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆40Updated 2 years ago
- ☆61Updated 2 years ago
- Denoising Masked Autoencoders Help Robust Classification.☆67Updated 2 years ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆72Updated 3 years ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆66Updated 8 months ago
- [ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling☆74Updated last year
- ☆42Updated 2 years ago
- PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411☆114Updated 2 years ago
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining☆102Updated 5 months ago
- Towards Unified and Effective Domain Generalization☆31Updated last year
- [CVPR 2023] Official repository for paper "Stare at What You See: Masked Image Modeling without Reconstruction"☆70Updated 3 months ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆31Updated last year
- LiVT PyTorch Implementation.☆72Updated 2 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago