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Test-time Adaptation

Papers

Showing 101125 of 484 papers

TitleStatusHype
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based SelectionCode1
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly LocalizationCode1
Fine-Tuning CLIP's Last Visual Projector: A Few-Shot CornucopiaCode1
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual LearningCode1
DomainAdaptor: A Novel Approach to Test-time AdaptationCode1
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior PredictabilityCode1
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time AdaptationCode1
Calibration-free online test-time adaptation for electroencephalography motor imagery decodingCode1
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time AdaptationCode1
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic SegmentationCode1
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain AlignmentCode1
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyCode1
Scene-Adaptive Video Frame Interpolation via Meta-LearningCode1
AdaNPC: Exploring Non-Parametric Classifier for Test-Time AdaptationCode1
Segmenting Moving Objects via an Object-Centric Layered RepresentationCode1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
Dynamic Domains, Dynamic Solutions: DPCore for Continual Test-Time AdaptationCode1
Efficient Test-Time Model Adaptation without ForgettingCode1
Ev-TTA: Test-Time Adaptation for Event-Based Object RecognitionCode1
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image SegmentationCode1
SoTTA: Robust Test-Time Adaptation on Noisy Data StreamsCode1
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled RegularizationCode1
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular DataCode1
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and ReconstructionCode1
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