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Found 3 papers, 2 papers with code
Improving Crowded Object Detection via Copy-Paste
Crowdedness caused by overlapping among similar objects is a ubiquitous challenge in the field of 2D visual object detection.
Body-Face Joint Detection via Embedding and Head Hook
Detecting pedestrians and their associated faces jointly is a challenging task. On one hand, body or face could be absent because of occlusion or non-frontal human pose. On the other hand, the association becomes difficult or even miss-leading in crowded scenes due to the lack of strong correlational evidence.
Dynamic-SLAM: Semantic monocular visual localization and mapping based on deep learning in dynamic environment
Then, in view of low recall rate of the existing SSD object detection network, a missed detection compensation algorithm based on the speed invariance in adjacent frames is proposed, which greatly improves the recall rate of detection.
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