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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：315/56  |  提交时间：2022/11/21
Adversarial attack  Gait recognition  Temporal sparsity  
Temporal-adaptive sparse feature aggregation for video object detection 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 127, 页码: 108587
作者:  He, Fei;  Li, Qiaozhe;  Zhao, Xin;  Huang, Kaiqi
Adobe PDF(1549Kb)  |  收藏  |  浏览/下载：312/42  |  提交时间：2022/06/10
Video object detection  Temporal-adaptive sparse sampling  Pixel-adaptive aggregation  Object-relational aggregation  
Progressive polarization based reflection removal via realistic training data generation 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 13
作者:  Pang, Youxin;  Yuan, Mengke;  Fu, Qiang;  Ren, Peiran;  Yan, Dong-Ming
Adobe PDF(4985Kb)  |  收藏  |  浏览/下载：309/40  |  提交时间：2022/02/16
Deep learning  Reflection removal  Polarization  Progressive network  Convolutional neural networks  
Universal adversarial perturbations against object detection 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 110, 期号: 无, 页码: 107584
作者:  Li, Debang;  Zhang, Junge;  Huang, Kaiqi
Adobe PDF(4553Kb)  |  收藏  |  浏览/下载：312/41  |  提交时间：2021/01/06
Adversarial examples  Object detection  Universal adversarial perturbation  
Contextual deconvolution network for semantic segmentation 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 101, 页码: 11
作者:  Fu, Jun;  Liu, Jing;  Li, Yong;  Bao, Yongjun;  Yan, Weipeng;  Fang, Zhiwei;  Lu, Hanqing
Adobe PDF(3400Kb)  |  收藏  |  浏览/下载：408/96  |  提交时间：2020/06/02
Semantic segmentation  Deconvolution network  Channel contextual module  Spatial contextual module  
Blind image quality assessment via learnable attention-based pooling 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 91, 页码: 332-344
作者:  Gu, Jie;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(3081Kb)  |  收藏  |  浏览/下载：504/189  |  提交时间：2019/05/15
Image quality assessment  Perceptual image quality  Visual attention  Convolutional neural network  Learnable pooling