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DeepMark: One-Shot Clothing Detection
October 02, 2019 Β· Declared Dead Β· π 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
"No code URL or promise found in abstract"
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Authors
Alexey Sidnev, Alexey Trushkov, Maxim Kazakov, Ivan Korolev, Vladislav Sorokin
arXiv ID
1910.01225
Category
cs.CV: Computer Vision
Citations
19
Venue
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
Last Checked
4 months ago
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.
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