Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sidnev, Alexey"'
Autor:
Davydov, Andrey, Sidnev, Alexey, Sanakoyeu, Artsiom, Chen, Yuhua, Salzmann, Mathieu, Fua, Pascal
When enough annotated training data is available, supervised deep-learning algorithms excel at estimating human body pose and shape using a single camera. The effects of too little such data being available can be mitigated by using other information
Externí odkaz:
http://arxiv.org/abs/2402.02736
The success of deep neural networks in the traditional keypoint detection task encourages researchers to solve new problems and collect more complex datasets. The size of the DeepFashion2 dataset poses a new challenge on the keypoint detection task,
Externí odkaz:
http://arxiv.org/abs/2010.12390
Autor:
Sidnev, Alexey, Krapivin, Alexander, Trushkov, Alexey, Krasikova, Ekaterina, Kazakov, Maxim, Viryasov, Mikhail
Clothing recognition is the most fundamental AI application challenge within the fashion domain. While existing solutions offer decent recognition accuracy, they are generally slow and require significant computational resources. In this paper we pro
Externí odkaz:
http://arxiv.org/abs/2006.00710
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 detec
Externí odkaz:
http://arxiv.org/abs/1910.01225
Autor:
Sidnev, Alexey
Publikováno v:
Algorithms & Architectures for Parallel Processing: ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December 14-16, 2016, Proceedings; 2016, p354-364, 11p
