A repository and benchmark for online test-time adaptation.
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Updated
May 30, 2024 - Python
A repository and benchmark for online test-time adaptation.
[ICML23] On Pitfalls of Test-Time Adaptation
This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
[ICCV 2023] This repo is official PyTorch implementation of Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction.
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
[NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"
[CVPR 2024] TEA: Test-time Energy Adaptation
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
Official PyTorch implementation of SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization (INTERSPEECH 2023 Oral Presentation)
[ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
Towards Unified and Effective Domain Generalization
Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"
Revisiting Test Time Adaptation Under Online Evaluation
Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"
[AAAI 2024] Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Slot-TTA shows that test-time adaptation using slot-centric models can improve image segmentation on out-of-distribution examples.
[MICCAI'22] Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".
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