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Test-time Adaptation

Papers

Showing 101150 of 484 papers

TitleStatusHype
Distribution-Aware Continual Test-Time Adaptation for Semantic SegmentationCode1
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly LocalizationCode1
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical ImagesCode1
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
Generalized Robust Test-Time Adaptation in Continuous Dynamic ScenariosCode1
Tent: Fully Test-time Adaptation by Entropy MinimizationCode1
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
Test-time Adaptation with Slot-Centric ModelsCode1
Parameter-free Online Test-time AdaptationCode1
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image SegmentationCode1
RDumb: A simple approach that questions our progress in continual test-time adaptationCode1
AdaNPC: Exploring Non-Parametric Classifier for Test-Time AdaptationCode1
Robust Test-Time Adaptation in Dynamic ScenariosCode1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
Dynamic Domains, Dynamic Solutions: DPCore for Continual Test-Time AdaptationCode1
Robust Calibration of Large Vision-Language AdaptersCode1
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based SelectionCode1
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image SegmentationCode1
NOTE: Robust Continual Test-time Adaptation Against Temporal CorrelationCode1
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled RegularizationCode1
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular DataCode1
Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time AdaptationCode1
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged ObjectsCode1
Feature Alignment and Uniformity for Test Time AdaptationCode1
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and ReconstructionCode1
Improved Test-Time Adaptation for Domain GeneralizationCode1
Fine-Tuning CLIP's Last Visual Projector: A Few-Shot CornucopiaCode1
Efficient Test-Time Model Adaptation without ForgettingCode1
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic SegmentationCode1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyCode1
Gradient Alignment Improves Test-Time Adaptation for Medical Image SegmentationCode1
Evaluation of Test-Time Adaptation Under Computational Time ConstraintsCode1
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature AlignmentCode1
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled FactorsCode1
Segmenting Moving Objects via an Object-Centric Layered RepresentationCode1
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather RemovalCode1
Continual Predictive Learning from VideosCode1
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain AlignmentCode1
Ev-TTA: Test-Time Adaptation for Event-Based Object RecognitionCode1
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy SpeechCode1
Back to the Source: Diffusion-Driven Test-Time AdaptationCode1
Harnessing Meta-Learning for Improving Full-Frame Video StabilizationCode1
TEA: Test-time Energy AdaptationCode1
Exploring Sparse Visual Prompt for Domain Adaptive Dense PredictionCode1
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time AdaptationCode1
Test-Time Adaptation via Self-Training with Nearest Neighbor InformationCode1
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