arXiv Machine Learning July 3, 2026 By Zekun Qian, Wei Feng, Ruize Han, Junhui Hou

COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm

Read the original on arXiv Machine Learning →

arXiv:2603. 24016v2 Announce Type: replace-cross Abstract: Multi-Object Tracking (MOT) has traditionally focused on a few specific categories, restricting its applicability to real-world scenarios involving diverse objects.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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FEMOT: Multi-Object Tracking using Frame and Event Cameras

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VLA-ReID: Video-Level Association for Re-Identification in Multi-Object Tracking with Highly Similar Objects

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