Accuracy (Cross-Subject): 93.6Accuracy (Cross-View): 96.5
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Human Interaction Recognition
Human Interaction Recognition (HIR) is a field of study that involves the development of computer algorithms to detect and recognize human interactions in videos, images, or other multimedia content. The goal of HIR is to automatically identify and analyze the social interactions between people, their body language, and facial expressions.
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
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Dataset기록된 모델 예시MetricPaperCode
데이터셋
10개논문
Accuracy (Cross-Subject): 90.5Accuracy (Cross-View): 93.5
Accuracy (Cross-Subject): 96.5Accuracy (Cross-View): 98.8
Accuracy: 92.88
Accuracy: 94.03
Accuracy: 98.51±1.47
Accuracy: 80.13
Accuracy (Cross-Subject): 97.1Accuracy (Cross-View): 99.3
Accuracy (Cross-Subject): 94.9Accuracy (Cross-View): 97.7
Top-1 accuracy %: 55.11
라이브러리
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