面向遥感目标检测的多尺度架构搜索方法

裴婵, 廖铁军

Multi-scale architecture search method for remote sensing object detection

PEI Chan, LIAO Tiejun

表1 不同网络在DIOR测试集下的准确率

Tab.1 Accuracy on DIOR test set by different architecture(%)

模型 主干网络 mAP APS APL YOLOv3[33] Darknet-53 53.1 22.5 75.7 Faster R-CNN[34] VGG16 54.2 33.9 78.6 Faster R-CNN+FPN ResNet-50 60.6 42.2 81.9 RetinaNet+FPN ResNet-50 62.9 43.5 86.5 CornerNet[35] Hourglass-104 57.3 31.8 80.4 Cascade R-CNN[36] ResNet-50 68.9 48.9 89.5 FCOS-FPN ResNet-50 59.6 35.7 85.9 NAS-FPN ResNet-50 64.8 44.8 84.6 NAS-FCOS[37] ResNet-50 60.8 40.3 79.0 NAS-Mix-FPN MixNet 70.5 51.0 89.1