Code for experiments of the paper "A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar?" (DistShift workshop, NeurIPS 2022).
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Updated
Nov 17, 2022 - Python
Code for experiments of the paper "A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar?" (DistShift workshop, NeurIPS 2022).
[MICCAI'22] Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
Framework to run the Federated Test-Time-Adaptation method StarAlign
[TPAMI 2024] The official implementation of "Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training"
PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
Single-image test-time domain adaptation for segmentation models.
An official implementation of "Domain Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation", CVPR 2024.
Uncertainty-Guided Online Test-time Adaptation via Meta-Learning
[ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"
[AAAI 2024] Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
University project based on implementing a Test Time Adaptation (TTA) solution for image classifiers. University of Trento (Italy)
[NeurIPS 2023] Adaptive Test-Time Personalization for Federated Learning. Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He.
[ECCV 2022] Learning Instance-Specific Adaptation for Cross-Domain Segmentation
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".
[https://arxiv.org/abs/2208.09198] Test-Time Training for Universal Cross-Domain Retrieval
Test-Time Adaptation for image classification with MEMO
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