基于CenterNet的改进遥感旋转目标检测
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刘鑫,黄进,杨瑛玮,李剑波
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Improved Remote Sensing Rotating Object Detection based on CenterNet
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Xin LIU,Jin HUANG,Yingwei YANG,Jianbo LI
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表1 不同模型在HRSC2016数据测试集上精度评估结果
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Table 1 Accuracy evaluation results of different models on HRSC2016 test data set
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Models | Backbone | AnchorFree | mAP@50(%) | InputSize |
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两阶段算法 | BL2[16] | ResNet101 | × | 69.60 | half of original size | R2CNN[15] | VGG16 | × | 73.07 | 800 x 800 | RoI Tran[14] | ResNet101 | × | 86.20 | 512 x 800 | 单阶段算法 | IENet[35] | ResNet101 | √ | 75.01 | 1024 x 1024 | OriCenterness[36] | ResNet101 | √ | 78.15 | 800 x 800 | CSL[19] | ResNet101 | × | 89.62 | 800 x 800 | SAR[21] | ResNet101 | √ | 88.45 | 896 x 896 | RIE[22] | HRGANet-W48 | × | 91.27 | 800 x 800 | VR-CenterNet | DLAs | √ | 88.48 | 640 x 640 |
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