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AAformer: Auto-Aligned Transformer for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:  Zhu, Kuan;  Guo, Haiyun;  Zhang, Shiliang;  Wang, Yaowei;  Liu, Jing;  Wang, Jinqiao;  Tang, Ming
收藏  |  浏览/下载：116/0  |  提交时间：2023/11/16
Auto-alignment  part-level representation  person re-identification (re-ID)  transformer  
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 0
作者:  Liu, Fei;  Liu, Jing;  Hong, Richang;  Lu, Hanqing
Adobe PDF(3550Kb)  |  收藏  |  浏览/下载：318/78  |  提交时间：2022/01/27
video question answering  attention mechanism  metric learning  
ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载：284/30  |  提交时间：2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Wang, Guanan;  Hu, Qinghao;  Yang, Yang;  Cheng, Jian;  Hou, Zeng-Guang
收藏  |  浏览/下载：204/0  |  提交时间：2022/01/27
Data models  Semantics  Force  Computational modeling  Hash functions  Binary codes  Training data  Adversarial learning (AL)  deep learning  hashing  
Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 3, 页码: 1389-1399
作者:  Liu, Shenglan;  Sun, Muxin;  Feng, Lin;  Qiao, Hong;  Chen, Shuyuan;  Liu, Yang
收藏  |  浏览/下载：194/0  |  提交时间：2021/04/27
Image retrieval  multigraph fusion  reranking  three degrees of influence