基于特征优化与深层次融合的目标检测算法

谢誉,包梓群,张娜,吴彪,涂小妹,包晓安

Object detection algorithm based on feature enhancement and deep fusion

Yu XIE,Zi-qun BAO,Na ZHANG,Biao WU,Xiao-mei TU,Xiao-an BAO

表 3 VOC2007测试集上平均检测精度对比

Tab.3 Comparison of mean average precision on VOC2007 test set

算法 主干网络 mAP/% S/(帧·s−1) Faster R-CNN[5] VGGNet 73.2 7.0 Faster R-CNN[5] ResNet-101 78.8 2.3 R-FCN[34] ResNet-101 80.5 9.0 Cascade R-CNN[6] VGGNet 79.6 4.2 YOLOV2[9] DarkNet-19 73.7 81.0 SSD300[7] VGGNet 77.2 46.0 DSSD321[19] ResNet-101 78.6 9.5 STDN300[30] DenseNet-169 78.1 41.5 FSSD300[12] VGGNet 78.8 65.0 YOLOv3[35] DarkNet-53 79.4 37.0 RetinaNet[13] ResNet-101 79.4 12.4 FAENet300[31] VGGNet 80.1 65.0 FCOS[32] ResNet-50 77.8 17.6 ATSS[33] ResNet-50 78.2 14.9 FEDet VGGNet 79.7 39.0