OPT OpenIR

浏览/检索结果: 共6条,第1-6条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Attention Mask R-CNN for Ship Detection and Segmentation From Remote Sensing Images 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 9325-9334
作者:  Nie, Xuan;  Duan, Mengyang;  Ding, Haoxuan;  Hu, Bingliang;  Wong, Edward K.
Adobe PDF(5720Kb)  |  收藏  |  浏览/下载:182/1  |  提交时间:2020/05/18
Computer vision  object detection  object segmentation  remote sensing  
Convolutional Edge Constraint-Based U-Net for Salient Object Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 48890-48900
作者:  Han, Le;  Li, Xuelong;  Dong, Yongsheng
Adobe PDF(19751Kb)  |  收藏  |  浏览/下载:180/1  |  提交时间:2019/06/27
Encoder-decoder architecture  image convolution  edge extraction  salient object detection  skip connection  U-Net  
Instance-Level Embedding Adaptation for Few-Shot Learning 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 100501-100511
作者:  Hao, Fusheng;  Cheng, Jun;  Wang, Lei;  Cao, Jianzhong
Adobe PDF(7085Kb)  |  收藏  |  浏览/下载:190/0  |  提交时间:2019/09/19
Attention adaptation module  deep neural networks  few-shot learning  
Hyperspectral Anomaly Detection via Sparse Dictionary Learning Method of Capped Norm 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 16132-16144
作者:  Yuan, Yuan;  Ma, Dandan;  Wang, Qi
Adobe PDF(7643Kb)  |  收藏  |  浏览/下载:254/0  |  提交时间:2019/03/14
Anomaly detection  hyperspectral images  sparse  dictionary learning  capped norm  
Auxiliary Loss Multimodal GRU Model in Audio-Visual Speech Recognition 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 5573-5583
作者:  Yuan, Yuan;  Tian, Chunlin;  Lu, Xiaoqiang
Adobe PDF(1638Kb)  |  收藏  |  浏览/下载:174/1  |  提交时间:2018/12/11
Aduio-visual Systems  Recurrent Neural Networks  Generative Adversarial Networks  
A Robust Sparse Representation Based Pattern Recognition Approach for Myoelectric Control 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 38326-38335
作者:  Geng, Yanjuan;  Ouyang, Yatao;  Samuel, Oluwarotimi Williams;  Chen, Shixiong;  Lu, Xiaoqiang;  Lin, Chuang;  Li, Guanglin
Adobe PDF(6226Kb)  |  收藏  |  浏览/下载:186/0  |  提交时间:2018/09/14
Electromyogram  Pattern Recognition  Sparse Representation Classifier  Robustness  White Gaussian Noise