3 accepted papers
Crowdedness caused by overlapping among similar objects is a ubiquitous challenge in the field of 2D visual object detection. In this paper, we first underline two main effects of the crowdedness issue: 1) IoU-confidence correlation disturbances (ICD) and 2) confused de-duplication (CDD). Then we ex…
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…
Feature distillation is an effective way to improve the performance for a smaller student model, which has fewer parameters and lower computation cost compared to the larger teacher model. Unfortunately, there is a common obstacle $-$ the gap in semantic feature structure between the intermediate fe…