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Test-time Adaptation

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Showing 351–375 of 484 papers

TitleStatusHype
Addressing Distribution Shift at Test Time in Pre-trained Language Models—0
DATTA: Towards Diversity Adaptive Test-Time Adaptation in Dynamic Wild World—0
Source-Free Few-Shot Domain Adaptation—0
Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation—0
Source-Free Test-Time Adaptation For Online Surface-Defect Detection—0
Space Rotation with Basis Transformation for Training-free Test-Time Adaptation—0
SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks—0
SPARNet: Continual Test-Time Adaptation via Sample Partitioning Strategy and Anti-Forgetting Regularization—0
Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation—0
DART^3: Leveraging Distance for Test Time Adaptation in Person Re-Identification—0
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction—0
STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization—0
StreamAdapter: Efficient Test Time Adaptation from Contextual Streams—0
Structural Alignment Improves Graph Test-Time Adaptation—0
Style-invariant Cardiac Image Segmentation with Test-time Augmentation—0
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation—0
SUTA-LM: Bridging Test-Time Adaptation and Language Model Rescoring for Robust ASR—0
DARDA: Domain-Aware Real-Time Dynamic Neural Network Adaptation—0
3DHR-Co: A Collaborative Test-time Refinement Framework for In-the-Wild 3D Human-Body Reconstruction Task—0
Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors—0
Target to Source: Guidance-Based Diffusion Model for Test-Time Adaptation—0
Tartan IMU: A Light Foundation Model for Inertial Positioning in Robotics—0
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction—0
Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation—0
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation—0
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