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Test-time Adaptation

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Showing 351–375 of 484 papers

TitleStatusHype
Test-time adaptation for image compression with distribution regularization—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
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
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
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation—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 vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation—0
Test-Time Adaptation with Perturbation Consistency Learning—0
Test-Time Adaptation with Principal Component Analysis—0
Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection—0
Temporal Test-Time Adaptation with State-Space Models—0
Test-time Batch Statistics Calibration for Covariate Shift—0
Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation—0
Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning—0
Test-Time Intensity Consistency Adaptation for Shadow Detection—0
Test-time Loss Landscape Adaptation for Zero-Shot Generalization in Vision-Language Models—0
Test Time Robustification of Deep Models via Adaptation and Augmentation—0
Test-Time Training on Graphs with Large Language Models (LLMs)—0
Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation—0
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