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Multimodal channel-wise attention transformer inspired by mechanisms of the brain 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 130, 页码: 14
作者:  Shi, Qianqian;  Fan, Junsong;  Wang, Zuoren;  Zhang, Zhaoxiang
收藏  |  浏览/下载：161/0  |  提交时间：2023/03/20
Multisensory integration  Top-down attention  Multimodal transformer  Fine-grained bird recognition  Emotion recognition  
Temporal sparse adversarial attack on sequence-based gait recognition 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 11
作者:  He, Ziwen;  Wang, Wei;  Dong, Jing;  Tan, Tieniu
Adobe PDF(1435Kb)  |  收藏  |  浏览/下载：382/70  |  提交时间：2022/11/21
Adversarial attack  Gait recognition  Temporal sparsity  
Multimodal channel-wise attention transformer inspired by multisensory integration mechanisms of the brain 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 130, 页码: 14
作者:  Shi, Qianqian;  Fan, Junsong;  Wang, Zuoren;  Zhang, Zhaoxiang
收藏  |  浏览/下载：276/0  |  提交时间：2022/09/19
Multisensory integration  Top-down attention  Multimodal transformer  Fine-grained bird recognition  Emotion recognition  
Contrastive attention network with dense field estimation for face completion 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 13
作者:  Ma, Xin;  Zhou, Xiaoqiang;  Huang, Huaibo;  Jia, Gengyun;  Chai, Zhenhua;  Wei, Xiaolin
Adobe PDF(3539Kb)  |  收藏  |  浏览/下载：360/69  |  提交时间：2022/02/16
Face completion  Unsupervised learning  Attention mechanism  3D Face analysis  
GaitNet: An end-to-end network for gait based human identification 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 期号: 106988, 页码: 11
作者:  Song, Chunfeng;  Huang, Yongzhen;  Huang, Yan;  Jia, Ning;  Wang, Liang
浏览  |  Adobe PDF(3015Kb)  |  收藏  |  浏览/下载：652/170  |  提交时间：2019/12/16
Gait recognition  Video-based human identification  End-to-end CNN  Joint learning  
MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification 期刊论文
PATTERN RECOGNITION, 2019, 期号: 90, 页码: 436-449
作者:  Li, Yabei;  Zhang, Zhang;  Cheng, Yanhua;  Wang, Liang;  Tan, Tieniu
Adobe PDF(5797Kb)  |  收藏  |  浏览/下载：435/48  |  提交时间：2019/04/23
Indoor scene classification  Multi-modal fusion  RGB-D  Attentive pooling