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浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 Pixel and Feature Transfer Fusion for Unsupervised Cross-Dataset Person Reidentification 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者:  Yang, Yang;  Wang, Guan'an;  Tiwari, Prayag;  Pandey, Hari Mohan;  Lei, Zhen 收藏  |  浏览/下载：12/0  |  提交时间：2022/01/27 Cameras  Measurement  Image reconstruction  Data models  Adaptation models  Scalability  Lighting  Feature fusion  generate adversarial nets  person reidentification (Re-ID)  unsupervised learning   Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 14 作者:  Yang, Yang;  Tan, Zichang;  Tiwari, Prayag;  Pandey, Hari Mohan;  Wan, Jun 收藏  |  浏览/下载：46/0  |  提交时间：2021/11/02 Pedestrian attribute recognition  Attention  Split-and-aggregate learning  Feature recombination   DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning 期刊论文 NEURAL NETWORKS, 2021, 卷号: 135, 页码: 1-12 作者:  Tiwari, Prayag;  Zhu, Hongyin;  Pandey, Hari Mohan 收藏  |  浏览/下载：62/0  |  提交时间：2021/03/15 Knowledge graph reasoning  Reinforcement learning  Graph self-attention  GRU   An end-to-end exemplar association for unsupervised person Re-identification 期刊论文 NEURAL NETWORKS, 2020, 卷号: 129, 页码: 43-54 作者:  Wu, Jinlin;  Yang, Yang;  Lei, Zhen;  Wang, Jinqiao;  Li, Stan Z. 收藏  |  浏览/下载：7/0  |  提交时间：2020/09/07 End-to-end exemplar-based training  Exemplar association  Dynamic selection threshold   Cross-Modality Paired-Images Generation and Augmentation for RGB-Infrared Person Re-Identification 期刊论文 Neural Networks, 2020, 卷号: 128, 期号: 128, 页码: 294-304 作者:  Guan'an Wangang;  Yang Yang;  Tianzhu Zhang;  Jian Cheng;  Zengguang Hou 收藏  |  浏览/下载：14/0  |  提交时间：2020/10/27 Person re-identification  Cross-modality  Feature disentanglement  Image generation  Adversarial learning   Structural block driven enhanced convolutional neural representation for relation extraction 期刊论文 APPLIED SOFT COMPUTING, 2020, 卷号: 86, 页码: 9 作者:  Wang, Dongsheng;  Tiwari, Prayag;  Garg, Sahil;  Zhu, Hongyin;  Bruza, Peter 收藏  |  浏览/下载：8/0  |  提交时间：2020/03/30 Relation extraction  Deep learning  CNNs  Dependency parsing