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:
基于动态稀疏和特征学习增强的模型剪枝 期刊论文
中国科学:技术科学, 2022, 卷号: 52, 期号: 5, 页码: 667-681
作者:  阮晓峰;  胡卫明;  刘雨帆;  李兵
Adobe PDF(2674Kb)  |  收藏  |  浏览/下载:5/0  |  提交时间:2024/06/05
Continual Stereo Matching of Continuous Driving Scenes with Growing Architecture 会议论文
, 美国路易斯安那州新奥尔良, 2022.06.19
作者:  Zhang, Chenghao;  Tian, Kun;  Fan, Bin;  Meng, Gaofeng;  Zhang, Zhaoxiang;  Pan, Chunhong
Adobe PDF(2647Kb)  |  收藏  |  浏览/下载:178/64  |  提交时间:2023/04/25
Learning to Explore Distillability and Sparsability: A Joint Framework for Model Compression 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022, 卷号: 45, 期号: 3, 页码: 3378-3395
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Stephen Maybank
Adobe PDF(3314Kb)  |  收藏  |  浏览/下载:146/39  |  提交时间:2023/04/24
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization 会议论文
, New Orleans, USA, 2022.6.19-6.24
作者:  Xu, Nuo;  Chang, Jianlong;  Nie, Xing;  Huo, Chunlei;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(913Kb)  |  收藏  |  浏览/下载:186/45  |  提交时间:2022/12/20
Multi-modal spatio-temporal meteorological forecasting with deep neural network 期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 页码: 14
作者:  Xinbang Zhang;  Qizhao Jin;  Tingzhao Yu;  Shiming Xiang;  Qiuming Kuang;  Véronique Prinet;  Chunhong Pan
Adobe PDF(3735Kb)  |  收藏  |  浏览/下载:303/71  |  提交时间:2022/07/01
Meterological forecasting  Deep learning  Neural architecture search  AutoML  
网络结构搜索方法及其在气象预测中的应用研究 学位论文
工学博士学位, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
作者:  张新邦
Adobe PDF(8827Kb)  |  收藏  |  浏览/下载:283/8  |  提交时间:2022/07/01
网络结构搜索  自动机器学习  深度学习  气象预测  时空数据挖掘  
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:  Chen, Yaran;  Li, Haoran;  Gao, Ruiyuan;  Zhao, Dongbin
Adobe PDF(2082Kb)  |  收藏  |  浏览/下载:252/52  |  提交时间:2022/03/17
3-D object detection  generalized Intersection of Union (GIoU) loss  segmentation  
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Zixiang, Ding;  Yaran, Chen;  Nannan, Li;  Dongbin, Zhao;  C.L.Philip Chen,
Adobe PDF(764Kb)  |  收藏  |  浏览/下载:207/32  |  提交时间:2022/01/07
broad neural architecture search, stacked broad convolutional neural network, knowledge embedding search, image classification.