Human in Events

Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve)

Track-5: Pedestrian Detection in Complex and Crowded Events
Team Name MR AP JI
FasterRCNN (Baseline) 0.6722 0.5935 0.5156
S Ren, K He, R Girshick, et al.. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. In NIPS, 2015
RetinaNet (Baseline) 0.7041 0.6082 0.4898
TY Lin, P Goyal, R Girshick, K He. Focal loss for dense object detection. In ICCV, 2017
result 0.7103 0.6072 0.5157
Anonymous submission
2nd_submission 0.7147 0.5981 0.5026
Anonymous submission
second-result 0.7168 0.5912 0.4932
Anonymous submission
first-result 0.7198 0.5890 0.4905
Anonymous submission