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Test-time Adaptation

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Showing 451–484 of 484 papers

TitleStatusHype
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary—0
Test-Time Adaptation for Visual Document Understanding—0
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning—0
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation—0
Few-Shot Adaptation of Pre-Trained Networks for Domain ShiftCode0
Exemplar Free Class Agnostic Counting—0
Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation to Multiple Image Corruptions—0
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation—0
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation—0
Learning Instance-Specific Adaptation for Cross-Domain Segmentation—0
A Field of Experts Prior for Adapting Neural Networks at Test TimeCode0
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey—0
Unsupervised Adaptation of Semantic Segmentation Models without Source Data—0
SITA: Single Image Test-time Adaptation—0
Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation—0
MixNorm: Test-Time Adaptation Through Online Normalization Estimation—0
Test time Adaptation through Perturbation RobustnessCode0
Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency—0
Test-time Batch Statistics Calibration for Covariate Shift—0
Testing-Time Adaptation through Online Normalization Estimation—0
Source-Free Few-Shot Domain Adaptation—0
Test Time Robustification of Deep Models via Adaptation and Augmentation—0
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation—0
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis—0
Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning—0
Test-Time Adaptation to Distribution Shifts by Confidence Maximization and Input Transformation—0
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation—0
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images—0
Test-Time Adaptation for Out-of-distributed Image Inpainting—0
Test-Time Adaptation and Adversarial Robustness—0
Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs—0
Style-invariant Cardiac Image Segmentation with Test-time Augmentation—0
Meta-Learning Initializations for Image SegmentationCode0
Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models—0
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