precision: 70.6AUC: 64.7Normalized Precision: 82.6
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>
논문
AUC: 65.3
AUC: 61.7
Expected Average Overlap (EAO): 0.4160
precision: 67.8AUC: 62.7
AUC: 61.6
AUC: 60.3
Expected Average Overlap (EAO): 0.30
precision: 57.9AUC: 56.9
Expected Average Overlap (EAO): 0.380
Expected Average Overlap (EAO): 0.446
Expected Average Overlap (EAO): 0.247
Expected Average Overlap (EAO): 0.383
Expected Average Overlap (EAO): 0.397
Expected Average Overlap (EAO): 0.263
Expected Average Overlap (EAO): 0.416
precision: 63.7AUC: 60.6
Expected Average Overlap (EAO): 0.27
Expected Average Overlap (EAO): 0.428
Expected Average Overlap (EAO): 0.414
Expected Average Overlap (EAO): 0.286
precision: 0.42|0.50|0.42
AUC: 57.8