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cs.CV2026
Calibrating Multimodal Test-Time Adaptation under Reliability and Availability Modality Shifts
Jiangmeng Li, Jinglin Xu, Yi Li +5
Multimodal test-time adaptation (TTA) enables pretrained multimodal models to accommodate distribution shifts during inference using only unlabeled test data, without recourse to t…
cs.CV2026
SocialFusion: Addressing Social Degradation in Pre-trained Vision-Language Models
Hamza Tahboub, Weiyan Shi, Gang Hua +1
Understanding social interactions from visual cues is a fundamental challenge for a socially competent AI. While powerful pre-trained vision-language models (VLMs) have shown remar…
cs.CV2024
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective
Zeen Song, Wenwen Qiang, Changwen Zheng +2
Video contrastive learning (V-CL) has emerged as a popular framework for unsupervised video representation learning, demonstrating strong results in tasks such as action classifica…