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HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Clou...
3D point cloud segmentation has received significant interest for its growing applications. However, the generalization ability of models suffers in dynamic scenarios due to the... -
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time A...
Continual Test Time Adaptation (CTTA) is re-required to adapt efficiently to continuous unseen domains while retaining previously learned knowledge. -
Feature Alignment and Uniformity for Test Time Adaptation
Test time adaptation (TTA) aims to adapt deep neural networks when receiving out of distribution test domain samples. -
Robustifying Vision Transformer without Retraining from Scratch
Vision Transformer (ViT) is becoming more popular in image processing. We investigate the effectiveness of test-time adaptation (TTA) on ViT, a technique that has emerged to...