Matrix Nets: A New Deep Architecture for Object Detection
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AP
在MS COCO上实现了47.8的mAP -
AP比较
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Matrix Networks
(a) Shows the original FPN architecture
(b) Shows the MatrixNet architecture, where the 5 FPN layers are viewed as the diagonal layers in the matrix. We fill in the rest of the matrix by downsampling these layers. -
KP-xNet architecture
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实验结果
Empirical results on MSCOCO for our method as compared to best results reported in other works. -
其他详细细节可以参考原论文
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论文链接:Matrix Nets: A New Deep Architecture for Object Detection
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开源代码
pytorch版 MatrixNets 实现: https://github.com/arashwan/matrixnet (包含了 train、 test 代码)
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