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SCOOT:Self-supervised Centric Open-set Object Tracking
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DescriptionWe propose a system that encompasses a self-supervised appearance model, a fusion module for combining textual and visual features, and an object association algorithm based on reconstruction and observation.
Contributors
Wei Li
Institute of Automation, Chinese Academy Of Sciences
Weiliang Meng
Institute of Automation, Institute of Automation, Chinese Academy Of Sciences
Bowen Li
Institute of Automation, Institute of Automation, Institute of Automation, Chinese Academy Of Sciences
Jiguang Zhang
Institute of Automation, Institute of Automation, Chinese Academy Of Sciences
Xiaopeng Zhang
Institute of Automation, Institute of Automation, Chinese Academy Of Sciences
Event Type
Poster
TimeThursday, 14 December 202310:00am - 5:30pm
LocationExhibition Hall 1, Level 2 (Exhibition Centre)
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