OnPoint enables point-supervised online temporal action localization by distilling pseudo-segments, class-activation sequences, and anticipatory windows from an offline teacher to an online student.
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
SkillSpotter raises class-specific mAP from 12.40 to 21.82 and balanced accuracy to 60.40% on Ego-Exo4D by adding adaptive temporal suppression, gated pose fusion, and bidirectional cross-view attention to temporal action detectors.
citing papers explorer
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OnPoint: Offline-to-Online Multi-Level Distillation for Point-Supervised Online Temporal Action Localization
OnPoint enables point-supervised online temporal action localization by distilling pseudo-segments, class-activation sequences, and anticipatory windows from an offline teacher to an online student.
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SkillSpotter: Pose-Aware Multi-View Skilled Action Detection and Grading in Ego-Exo Videos
SkillSpotter raises class-specific mAP from 12.40 to 21.82 and balanced accuracy to 60.40% on Ego-Exo4D by adding adaptive temporal suppression, gated pose fusion, and bidirectional cross-view attention to temporal action detectors.