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Test-time Adaptation

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Showing 301–325 of 484 papers

TitleStatusHype
Mitigating Image Captioning Hallucinations in Vision-Language Models—0
Mitigating the Bias in the Model for Continual Test-Time Adaptation—0
MixNorm: Test-Time Adaptation Through Online Normalization Estimation—0
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation—0
Modality-Collaborative Test-Time Adaptation for Action Recognition—0
Model-free Test Time Adaptation for Out-Of-Distribution Detection—0
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation—0
Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio—0
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation—0
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation—0
New Test-Time Scenario for Biosignal: Concept and Its Approach—0
On-demand Test-time Adaptation for Edge Devices—0
Online Test-time Adaptation for 3D Human Pose Estimation: A Practical Perspective with Estimated 2D Poses—0
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning—0
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning—0
Out-of-distribution Rumor Detection via Test-Time Adaptation—0
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation—0
Deep-learning-based groupwise registration for motion correction of cardiac T_1 mapping—0
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding—0
Personalized Speech Recognition for Children with Test-Time Adaptation—0
Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning—0
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach—0
PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking—0
Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection—0
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation—0
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