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20232026
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cs.CV2026

Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation

Xiangyu Wu, Dongming Jiang, Feng Yu +5

Mainstream Test-Time Adaptation (TTA) methods for adapting vision-language models, e.g., CLIP, typically rely on Shannon Entropy (SE) at test time to measure prediction uncertainty…

cs.CV2025

Multi-Label Test-Time Adaptation with Bound Entropy Minimization

Xiangyu Wu, Feng Yu, Qing-Guo Chen +2

Mainstream test-time adaptation (TTA) techniques endeavor to mitigate distribution shifts via entropy minimization for multi-class classification, inherently increasing the probabi…

cs.CV2024

Solution for Point Tracking Task of ECCV 2nd Perception Test Challenge 2024

Yuxuan Zhang, Pengsong Niu, Kun Yu +2

This report introduces an improved method for the Tracking Any Point~(TAP), focusing on monitoring physical surfaces in video footage. Despite their success with short-sequence sce…

cs.CV2024

TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt

Xiangyu Wu, Qing-Yuan Jiang, Yang Yang +3

The recent introduction of prompt tuning based on pre-trained vision-language models has dramatically improved the performance of multi-label image classification. However, some ex…

cs.CV2023

Solution for SMART-101 Challenge of ICCV Multi-modal Algorithmic Reasoning Task 2023

Xiangyu Wu, Yang Yang, Shengdong Xu +3

In this paper, we present our solution to a Multi-modal Algorithmic Reasoning Task: SMART-101 Challenge. Different from the traditional visual question-answering datasets, this cha…