Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Chen, Xiaotang"'
In psychoanalysis, generating interpretations to one's psychological state through visual creations is facing significant demands. The two main tasks of existing studies in the field of computer vision, sentiment/emotion classification and affective
Externí odkaz:
http://arxiv.org/abs/2302.10276
Although various methods have been proposed for multi-label classification, most approaches still follow the feature learning mechanism of the single-label (multi-class) classification, namely, learning a shared image feature to classify multiple lab
Externí odkaz:
http://arxiv.org/abs/2212.01461
Sandplay image, as an important psychoanalysis carrier, is a visual scene constructed by the client selecting and placing sand objects (e.g., sand, river, human figures, animals, vegetation, buildings, etc.). As the projection of the client's inner w
Externí odkaz:
http://arxiv.org/abs/2203.00907
While recent studies on pedestrian attribute recognition have shown remarkable progress in leveraging complicated networks and attention mechanisms, most of them neglect the inter-image relations and an important prior: spatial consistency and semant
Externí odkaz:
http://arxiv.org/abs/2109.05686
Pedestrian attribute recognition aims to assign multiple attributes to one pedestrian image captured by a video surveillance camera. Although numerous methods are proposed and make tremendous progress, we argue that it is time to step back and analyz
Externí odkaz:
http://arxiv.org/abs/2107.03576
Despite various methods are proposed to make progress in pedestrian attribute recognition, a crucial problem on existing datasets is often neglected, namely, a large number of identical pedestrian identities in train and test set, which is not consis
Externí odkaz:
http://arxiv.org/abs/2005.11909
Autor:
Huang, Houjing, Yang, Wenjie, Chen, Xiaotang, Zhao, Xin, Huang, Kaiqi, Lin, Jinbin, Huang, Guan, Du, Dalong
Person re-identification (ReID) has achieved significant improvement under the single-domain setting. However, directly exploiting a model to new domains is always faced with huge performance drop, and adapting the model to new domains without target
Externí odkaz:
http://arxiv.org/abs/1812.11369
Autor:
Lin, Bin, Chen, Xiaotang, Chen, Junfeng, Chen, Shujian, Lu, Ruihan, Liang, Siyan, Cui, Xiping, Chi, Haitao, Zou, Linchi
Publikováno v:
In Journal of Materials Research and Technology May-June 2023 24:9928-9938
Person Re-identification (ReID) is to identify the same person across different cameras. It is a challenging task due to the large variations in person pose, occlusion, background clutter, etc How to extract powerful features is a fundamental problem
Externí odkaz:
http://arxiv.org/abs/1710.06555
Person re-identification (ReID) is an important task in wide area video surveillance which focuses on identifying people across different cameras. Recently, deep learning networks with a triplet loss become a common framework for person ReID. However
Externí odkaz:
http://arxiv.org/abs/1704.01719