Single kernel crossponding to multiple object

[Lincoln12w]

Thanks for the wonderful work! When I work this network on my own dataset, something strange happened: 1. A single kernel may sometimes correspond to multiple objects; 2. Misdetection of some obvious objects (can detected in the first few frames, with only slight differences in the image).; Can you give me any guidance or suggections about how to debug or solve these problems?