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).
Uncertainty-Guided Online Test-time Adaptation via Meta-Learning
University project based on implementing a Test Time Adaptation (TTA) solution for image classifiers. University of Trento (Italy)
site for the 1st Workshop on Test-Time Adaptation: Model, Adapt Thyself! (MAT)
[NeurIPS 2023] “SODA: Robust Training of Test-Time Data Adaptors”
Official Implementation of Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment (2024)
Test-Time Adaptation for image classification with MEMO
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
[TPAMI 2024] The official implementation of "Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training"
Official repository for AAAI2024 paper <Unraveling Batch Normalization for Realistic Test-Time Adaptation>.
Semi-supervised SimCLR for TTT++
Single-image test-time domain adaptation for segmentation models.
[https://arxiv.org/abs/2208.09198] Test-Time Training for Universal Cross-Domain Retrieval
Framework to run the Federated Test-Time-Adaptation method StarAlign
[ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"
Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.
An official implementation of "Domain Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation", CVPR 2024.
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