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Test-time Adaptation

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Showing 351–400 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
TempT: Temporal consistency for Test-time adaptation—0
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation—0
Testing-Time Adaptation through Online Normalization Estimation—0
TeST: Test-time Self-Training under Distribution Shift—0
Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation to Multiple Image Corruptions—0
Test-Time Adaptation and Adversarial Robustness—0
Unsupervised Adaptation of Semantic Segmentation Models without Source Data—0
Test-time Adaptation for Cross-modal Retrieval with Query Shift—0
Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks—0
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates—0
Test-Time Adaptation for Generalizable Task Progress Estimation—0
Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts—0
Test-time adaptation for image compression with distribution regularization—0
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey—0
Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation—0
Test-Time Adaptation for Out-of-distributed Image Inpainting—0
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning—0
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning—0
Addressing Data Distribution Shifts in Online Machine Learning Powered Smart City Applications Using Augmented Test-Time Adaptation—0
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images—0
Test-Time Adaptation for Visual Document Understanding—0
Conformal Uncertainty Indicator for Continual Test-Time Adaptation—0
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching—0
Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models—0
Command-Driven Articulated Object Understanding and Manipulation—0
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