Although modern object detectors rely heavily on a significant amount of training data, humans can easily detect novel objects using few examples. The mechanism the human visual system is to interpret spatial relationships among various and this process enables us exploit contextual information by considering co-occurrence objects. Thus, we propose reasoning framework that detects with only exa...

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 crowdedness issue: 1) IoU-confidence correlation disturbances (ICD) and 2) confused de-duplication (CDD). Then explore pathway cracking these nuts from perspective data augmentation. Primarily, particular copy- paste sch...