中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共8条，第1-8条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
Exploiting Curriculum Learning in Unsupervised Neural Machine Translation 会议论文
, Online, November 7–11, 2021
作者:  Lu JL(陆金梁);  Zhang JJ(张家俊)
Adobe PDF(866Kb)  |  收藏  |  浏览/下载：19/3  |  提交时间：2024/06/13
Semi-supervised Temporal Action Proposal Generation via Exploiting 2-d Proposal Map 期刊论文
IEEE Transactions on Multimedia, 2021, 页码: 3624 - 3635
作者:  Wang, Weining;  Lin, Tianwei;  He, Dongliang;  Li, Fu;  Wen, Shilei;  Wang, Liang;  Liu, Jing
Adobe PDF(4851Kb)  |  收藏  |  浏览/下载：147/22  |  提交时间：2023/05/03
Semi-supervised learning  proposal map oriented mean-teacher  pseudo label  
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering 会议论文
, 线上, 2021-10
作者:  Liu, Fei;  Liu, Jing;  Wang, Weining;  Lu, Hanqing
Adobe PDF(1174Kb)  |  收藏  |  浏览/下载：197/43  |  提交时间：2022/06/15
ATTENTION-GUIDED KNOWLEDGE DISTILLATION FOR EFFICIENT SINGLE-STAGE DETECTOR 会议论文
, Online, 2021-7-5
作者:  Wang, Tong;  Zhu, Yousong;  Zhao, Chaoyang;  Zhao, Xu;  Wang, Jinqiao;  Tang, Ming
Adobe PDF(574Kb)  |  收藏  |  浏览/下载：272/73  |  提交时间：2022/04/01
Adaptive Class Suppression Loss for Long-Tail Object Detection 会议论文
, Online, 2021-6-19
作者:  Wang, Tong;  Zhu, Yousong;  Zhao, Chaoyang;  Zeng, Wei;  Wang, Jinqiao;  Tang, Ming
Adobe PDF(2668Kb)  |  收藏  |  浏览/下载：262/69  |  提交时间：2022/04/01
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：344/87  |  提交时间：2022/01/27
video question answering  attention mechanism  metric learning  
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：277/15  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
Improving Multiple Object Tracking with Single Object Tracking 会议论文
, Online, 2021-06
作者:  Linyu Zheng;  Ming Tang;  Yingying Chen;  Guibo Zhu;  Jinqiao Wang;  Hanqing Lu
Adobe PDF(1300Kb)  |  收藏  |  浏览/下载：357/69  |  提交时间：2021/06/21