OPT OpenIR
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Property-Constrained Dual Learning for Video Summarization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 3989-4000
作者:  Zhao, Bin;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(2537Kb)  |  收藏  |  浏览/下载:177/0  |  提交时间:2020/11/02
Generators  Task analysis  Recurrent neural networks  Machine learning  Training  Semantics  Learning systems  Dual learning  property model  recurrent neural network (RNN)  video summarization  
Supervised deep hashing with a joint deep network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105
作者:  Chen, Yaxiong;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2408Kb)  |  收藏  |  浏览/下载:194/3  |  提交时间:2020/07/20
Image retrieval  Supervised hashing  CNN  RNN  Deep learning  
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3032-3046
作者:  Lu, Xiaoqiang;  Chen, Yaxiong;  Li, Xuelong
Adobe PDF(3109Kb)  |  收藏  |  浏览/下载:244/0  |  提交时间:2020/09/04
Correlation  Hash functions  Semantics  Training  Approximation algorithms  Convolution  Image retrieval  Category-level semantics  deep hashing  image retrieval  multi-scale contextual information  
Discrete Deep Hashing with Ranking Optimization for Image Retrieval 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2020, 卷号: 31, 期号: 6, 页码: 2052-2063
作者:  Lu, Xiaoqiang;  Chen, Yaxiong;  Li, Xuelong
Adobe PDF(3191Kb)  |  收藏  |  浏览/下载:200/2  |  提交时间:2020/06/24
Category-level Information  discrete deep hashing  image retrieval  ranking information  
Hierarchical Feature Fusion Network for Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9165-9175
作者:  Li, Xuelong;  Song, Dawei;  Dong, Yongsheng
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载:208/1  |  提交时间:2020/10/30
Feature extraction  Semantics  Image edge detection  Object detection  Fuses  Visualization  Image color analysis  Salient object detection  hierarchical feature fusion  edge information-guided  one-to-one hierarchical supervision strategy