Detecting Object Tracking Failure via Sequential Hypothesis Testing
arXiv:2602.12983v1 Announce Type: cross Abstract: Real-time online object tracking in videos constitutes a core task in computer vision, with wide-ranging…
arXiv:2602.12983v1 Announce Type: cross Abstract: Real-time online object tracking in videos constitutes a core task in computer vision, with wide-ranging…
arXiv:2602.12205v2 Announce Type: replace-cross Abstract: Current unified multimodal models for image generation and editing typically rely on massive parameter scales…
arXiv:2602.12316v1 Announce Type: new Abstract: Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI…
arXiv:2602.10687v2 Announce Type: replace-cross Abstract: Existing forgery detection methods are often limited to uni-modal or bi-modal settings, failing to handle…
arXiv:2602.11693v1 Announce Type: cross Abstract: Creating high-fidelity, animatable 3D avatars from a single image remains a formidable challenge. We identified…
arXiv:2602.11700v1 Announce Type: cross Abstract: Tabular prediction can benefit from in-table rows as few-shot evidence, yet existing tabular models typically…