yossigandelsman / test_time_training_maeLinks
The official github repo for "Test-Time Training with Masked Autoencoders"
☆90Updated 2 years ago
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
- On-Device Domain Generalization☆45Updated 3 years ago
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆80Updated 2 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated 2 years ago
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆176Updated 2 years ago
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 3 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆86Updated 2 years ago
- (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping☆97Updated 9 months ago
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆62Updated last year
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆72Updated 3 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆108Updated 2 years ago
- ☆42Updated 2 years ago
- [ICCV 2023] New framework: Domain adaptation using a single prompt. Main contribution: Prompt-driven Instance Normalization (PIN)☆124Updated 9 months ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆68Updated 11 months ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆49Updated 2 years ago
- ☆47Updated 3 years ago
- Revisiting Test Time Adaptation Under Online Evaluation☆35Updated last year
- Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers. Jochem Loedeman, Maarten C. Stol, Tengda Han, Yuki M…☆43Updated last year
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆32Updated last year
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆77Updated 3 years ago
- [CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders☆84Updated last year
- PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆39Updated 2 years ago
- [ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling☆74Updated last year
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆41Updated 2 years ago
- ☆48Updated 2 years ago
- ☆115Updated 2 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆73Updated 3 years ago
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆78Updated 2 years ago
- [CVPR 2023] Official repository for paper "Stare at What You See: Masked Image Modeling without Reconstruction"☆69Updated 5 months ago