DeepMark: One-Shot Clothing Detection

Alexey Sidnev, Alexey Trushkov, Maxim Kazakov, Ivan Korolev, Vladislav Sorokin; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 0-0

Abstract


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.

Related Material


[pdf]
[bibtex]
@InProceedings{Sidnev_2019_ICCV,
author = {Sidnev, Alexey and Trushkov, Alexey and Kazakov, Maxim and Korolev, Ivan and Sorokin, Vladislav},
title = {DeepMark: One-Shot Clothing Detection},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}