DeepMark: One-Shot Clothing Detection

Alexey Sidnev; Alexey Trushkov; Ivan Korolev; Maxim Kazakov; Vladislav Sorokin

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DeepMark: One-Shot Clothing Detection

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arxiv 1910.01225 v1 pith:MY7IX5PM submitted 2019-10-02 cs.CV

DeepMark: One-Shot Clothing Detection

Alexey Sidnev , Alexey Trushkov , Maxim Kazakov , Ivan Korolev , Vladislav Sorokin This is my paper

classification cs.CV

keywords detectionclothingdeepmarkone-shotproposedtaskaccuracyachieved

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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.

DeepMark: One-Shot Clothing Detection

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