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Test-time Adaptation
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DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
Keeping Medical AI Healthy: A Review of Detection and Correction Methods for System Degradation
Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation
Test-Time Adaptation for Generalizable Task Progress Estimation
SUTA-LM: Bridging Test-Time Adaptation and Language Model Rescoring for Robust ASR
E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models
Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentation
SAM-aware Test-time Adaptation for Universal Medical Image Segmentation
$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation
From Controlled Scenarios to Real-World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration
Energy-based Preference Optimization for Test-time Adaptation
JEDI: The Force of Jensen-Shannon Divergence in Disentangling Diffusion Models
Test-Time Adaptation with Binary Feedback
MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation
Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
Dynamic Manipulation of Deformable Objects in 3D: Simulation, Benchmark and Learning Strategy
DART$^3$: Leveraging Distance for Test Time Adaptation in Person Re-Identification
TRAIL: Transferable Robust Adversarial Images via Latent diffusion
Higher-Order Asymptotics of Test-Time Adaptation for Batch Normalization Statistics
Ranked Entropy Minimization for Continual Test-Time Adaptation
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains
AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation
Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning
MINGLE: Mixtures of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
FRET: Feature Redundancy Elimination for Test Time Adaptation
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
Mitigating Image Captioning Hallucinations in Vision-Language Models
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