jmiemirza / ActMAD
ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)
☆16Updated last year
Alternatives and similar repositories for ActMAD:
Users that are interested in ActMAD are comparing it to the libraries listed below
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆28Updated last year
- Pytorch code for Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency (NeurIPS 2022)☆20Updated 2 years ago
- An open-world scenario domain generalization code base☆25Updated 2 years ago
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆31Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆62Updated 2 months ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆18Updated last year
- ☆52Updated last year
- Towards Unified and Effective Domain Generalization☆30Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- [ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework f…☆23Updated 3 months ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆39Updated 10 months ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆49Updated last year
- Revisiting Test Time Adaptation Under Online Evaluation☆30Updated 10 months ago
- ☆56Updated 2 years ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆27Updated last year
- This is the official code of "Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation, NeurIPS 23"☆25Updated last year
- We're Not Using Videos Effectively (TMLR 2024)☆17Updated last year
- A code framework for implementing UniDA☆24Updated last year
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆65Updated 3 years ago
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆39Updated 2 years ago
- [ICCV 2023] Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning☆45Updated last year
- Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"☆39Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆48Updated 4 months ago
- ☆19Updated 2 years ago
- Create generated datasets and train robust classifiers☆34Updated last year
- ☆26Updated 2 years ago
- ☆29Updated last year
- Official code for the paper, "TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter".☆16Updated last year
- CIFAR-10-Warehouse: Towards Broad and More Realistic Testbeds in Model Generalization Analysis☆18Updated 8 months ago