CASIA OpenIR

浏览/检索结果: 共45条,第1-10条 帮助

已选(0)清除 条数/页:   排序方式:
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载:7/0  |  提交时间:2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 439-455
作者:  Qiongyi Zhou;  Changde Du;  Huiguang He
Adobe PDF(7698Kb)  |  收藏  |  浏览/下载:21/5  |  提交时间:2024/04/23
Convolutional neural network (CNN)  vision transformer (ViT)  multi-modal networks  spatial-temporal networks  visual neural encoding  brain-like neural networks  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载:14/3  |  提交时间:2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
面向异步时空脉冲数据的特征学习 学位论文
, 2023
作者:  孙琳晖
Adobe PDF(23773Kb)  |  收藏  |  浏览/下载:112/4  |  提交时间:2024/01/22
脉冲数据  特征学习  时空关系建模  图卷积神经网络  多尺度特征  
Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
作者:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
Adobe PDF(69424Kb)  |  收藏  |  浏览/下载:187/69  |  提交时间:2023/07/06
基于结构信息增强的图神经网络研究 学位论文
, 2023
作者:  呼奋宇
Adobe PDF(4023Kb)  |  收藏  |  浏览/下载:84/2  |  提交时间:2023/07/03
图神经网络  结构信息  邻居交互  注意力机制  多专家融合  多任务学习  
Towards Automatic Model Compression via A Unified Two-Stage Framework 期刊论文
Pattern Recognition (PR), 2023, 卷号: 140, 页码: 109527
作者:  Weihan Chen;  Peisong Wang;  Jian Cheng
Adobe PDF(765Kb)  |  收藏  |  浏览/下载:106/33  |  提交时间:2023/06/20
Deep Neural Networks  Model Compression  Quantization  Pruning  
Towards Fully Sparse Training: Information Restoration with Spatial Similarity 会议论文
, Vancouver, British Columbia, Canada, 2022-04
作者:  Xu WX(许伟翔);  Wang PS(王培松);  Cheng J(程健)
Adobe PDF(556Kb)  |  收藏  |  浏览/下载:79/25  |  提交时间:2023/06/20
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization 会议论文
, 线上举办, 2021-10-11
作者:  Weihan Chen;  Peisong Wang;  Jian Cheng
Adobe PDF(696Kb)  |  收藏  |  浏览/下载:111/35  |  提交时间:2023/06/20
Optimization-Based Post-Training Quantization With Bit-Split and Stitching 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:  Wang, Peisong;  Chen, Weihan;  He, Xiangyu;  Chen, Qiang;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(921Kb)  |  收藏  |  浏览/下载:172/49  |  提交时间:2023/03/20
Deep neural networks  compression  quantization  post-training quantization