DeepMark: One-Shot Clothing Detection
DeepMark: One-Shot Clothing Detection
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DOI：
10.1109/iccvw.2019.00399
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发表时间：
2019-10
期刊：
影响因子：
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通讯作者：
A. Sidnev;Alexey Trushkov;Maxim Kazakov;Ivan Korolev;Vladislav Sorokin
中科院分区：
文献类型：
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作者：
A. Sidnev;Alexey Trushkov;Maxim Kazakov;Ivan Korolev;Vladislav Sorokin
The one-shot approach, DeepMark, for fast clothing detection as a modification of a multi-target network, CenterNet, is proposed in the paper. The state-of-the-art accuracy of 0.723 mAP for bounding box detection task and 0.532 mAP for landmark detection task on the DeepFashion2 Challenge dataset were achieved. The proposed architecture can be used effectively on the low-power devices.
