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