An Object Detection Algorithm Based on Deep Learning and Salient Feature Fusion for Roadside Surveillance Camera

Today's article comes from the CAAI Transactions on Intelligence Technology journal. The authors are He et al., from Yanshan University, in China. In this paper they're showcasing a new object detector for roadside cameras. Their framework augments a standard YOLO pipeline with a second branch that extracts boundary and texture features, then fuses them with RGB features to better distinguish between objects.