P Wu, Z Wang, H Li, N Zeng - Expert Systems with Applications, 2024 - Elsevier
In this paper, a novel knowledge distillation (KD)-based pedestrian attribute recognition (PAR) model is developed, where a multi-label mixed feature learning network (MMFL-Net) …
J Wang, X Zhu, S Gong, W Li - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Most existing person re-identification (re-id) methods require supervised model learning from a separate large set of pairwise labelled training data for every single camera pair. This …
Person Re-identification (re-id) faces two major challenges: the lack of cross-view paired training data and learning discriminative identity-sensitive and view-invariant features in the …
Person re-identification is a challenging task due to various complex factors. Recent studies have attempted to integrate human parsing results or externally defined attributes to help …
Y Wang, W Gan, J Yang, W Wu… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Human attribute analysis is a challenging task in the field of computer vision. One of the significant difficulties is brought from largely imbalance-distributed data. Conventional …
Recently, our world witnessed major events that attracted a lot of attention towards the importance of automatic crowd scene analysis. For example, the COVID-19 breakout and …
Q Dong, S Gong, X Zhu - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Recognising detailed facial or clothing attributes in images of people is a challenging task for computer vision, especially when the training data are both in very large scale and …
C Tang, L Sheng, Z Zhang… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Pedestrian attribute recognition has been an emerging research topic in the area of video surveillance. To predict the existence of a particular attribute, it is demanded to localize the …
J Jia, X Chen, K Huang - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
While recent studies on pedestrian attribute recognition have shown remarkable progress in leveraging complicated networks and attention mechanisms, most of them neglect the inter …