Feature Enhancement SSD for Object Detection

This paper presents feature enhancement single shot multi-box detector(FE-SSD) for object detection. In FE-SSD network structure, firstly we apply scale-invariant convolution operation on each scale feature map in SSD’s pyramid feature maps. Then fusing the original feature and convolved feature generates new SSD’s feature pyramid, which will be fed to multibox detectors to predict the final detection results.On the PASCAL VOC2007 test, our network can achieve 78.0% mean average precision(mAP) at the speed of 82.5 frame per second(FPS) with the input size 300×300. On extended experiment, FE-SSD performance over SSD in blurry object detection.