Video Relation Detection via Multiple Hypothesis Association

MM '20: The 28th ACM International Conference on Multimedia Seattle WA USA October, 2020, pp. 3127-3135, 2020.

Cited by: 0|Bibtex|Views26|DOI:https://doi.org/10.1145/3394171.3413764
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Abstract:

Video visual relation detection (VidVRD) aims at obtaining not only the trajectories of objects but also the dynamic visual relations between them. It provides abundant information for video understanding and can serve as a bridge between vision and language. Compared with visual relation detection on image, VidVRD requires one more step ...More

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