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An Efficient Sampling-Based Attention Network for Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2850-2863
作者:  He, Xingjian;  Liu, Jing;  Wang, Weining;  Lu, Hanqing
Adobe PDF(3252Kb)  |  收藏  |  浏览/下载：339/75  |  提交时间：2022/06/10
Stochastic processes  Sampling methods  Semantics  Image segmentation  Computational complexity  Pattern recognition  Convolution  Semantic segmentation  stochastic sampling-based attention  deterministic sampling-based attention  
Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 227, 期号: 2021, 页码: 107186
作者:  Liu, Qingbin;  Bai, Guirong;  He, Shizhu;  Liu, Cao;  Liu, Kang;  Zhao, Jun
Adobe PDF(1021Kb)  |  收藏  |  浏览/下载：288/58  |  提交时间：2021/11/02
End-to-end task-oriented dialogue  Heterogeneous relational graph neural networks  Shared-private parameterization  Hierarchical attention mechanism  Adaptive objective  
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：305/75  |  提交时间：2022/01/27
video question answering  attention mechanism  metric learning