Automatically detecting and locating remote occlusion small objects from the images of complex traffic environments is a valuable challenging research. Since boundary box location not sufficiently accurate it difficult to distinguish overlapping occluded objects, authors propose network model with second-order term attention mechanism loss. First, backbone built on CSPDarkNet53. Then method des...
