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Test-time Adaptation

Papers

Showing 101150 of 484 papers

TitleStatusHype
Improved Test-Time Adaptation for Domain GeneralizationCode1
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
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
Test-Time Adaptation for Depth CompletionCode1
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
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training LayersCode1
Harnessing Meta-Learning for Improving Full-Frame Video StabilizationCode1
Test-Time Adaptation via Self-Training with Nearest Neighbor InformationCode1
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution ShiftCode1
AdaNPC: Exploring Non-Parametric Classifier for Test-Time AdaptationCode1
Tent: Fully Test-time Adaptation by Entropy MinimizationCode1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
Dynamic Domains, Dynamic Solutions: DPCore for Continual Test-Time AdaptationCode1
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather RemovalCode1
Test-time Adaptation with Slot-Centric ModelsCode1
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image SegmentationCode1
Gradient Alignment Improves Test-Time Adaptation for Medical Image SegmentationCode1
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled RegularizationCode1
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular DataCode1
Is Less More? Exploring Token Condensation as Training-free Adaptation for CLIPCode1
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy MinimizationCode1
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud SegmentationCode1
Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech RecognitionCode1
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and ReconstructionCode1
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
Efficient Test-Time Model Adaptation without ForgettingCode1
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic SegmentationCode1
In-Context Learning State Vector with Inner and Momentum OptimizationCode1
In Search of Lost Online Test-time Adaptation: A SurveyCode1
NC-TTT: A Noise Constrastive Approach for Test-Time TrainingCode1
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech RecognitionCode1
MECTA: Memory-Economic Continual Test-Time Model AdaptationCode1
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled FactorsCode1
Backpropagation-free Network for 3D Test-time AdaptationCode1
MEMO: Test Time Robustness via Adaptation and AugmentationCode1
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
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyCode1
Parameter-free Online Test-time AdaptationCode1
Exploring Sparse Visual Prompt for Domain Adaptive Dense PredictionCode1
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time AdaptationCode1
Segmenting Moving Objects via an Object-Centric Layered RepresentationCode1
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