AUC: 65.3
Papers with Code · CC BY-SA 4.0
Visual Object Tracking
Visual Object Tracking is an important research topic in computer vision, image understanding and pattern recognition. Given the initial state (centre location and scale) of a target in the first frame of a video sequence, the aim of Visual Object Tracking is to automatically obtain the states of the object in the subsequent video frames.
<span class="description-source">Source: Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking </span>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
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데이터셋
26개논문
precision: 70.6AUC: 64.7Normalized Precision: 82.6
precision: 67.8AUC: 62.7
Expected Average Overlap (EAO): 0.30
Expected Average Overlap (EAO): 0.247
Expected Average Overlap (EAO): 0.397
Expected Average Overlap (EAO): 0.263
Expected Average Overlap (EAO): 0.27
Expected Average Overlap (EAO): 0.286
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