中文版 | English

在结果中检索

HFCAS 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：
Enhance prototypical networks with hybrid attention and confusing loss function for few-shot relation classification 期刊论文
NEUROCOMPUTING, 2022, 卷号: 493
作者:  Li, Yibing;  Ma, Zuchang;  Gao, Lisheng;  Wu, Yichen;  Xie, Fei;  Ren, Xiaoye
收藏  |  浏览/下载：43/0  |  提交时间：2022/12/23
Relation classification  Few-shot learning  Hybrid attention  Loss  BERT  
Towards densely clustered tiny pest detection in the wild environment 期刊论文
NEUROCOMPUTING, 2022, 卷号: 490
作者:  Du, Jianming;  Liu, Liu;  Li, Rui;  Jiao, Lin;  Xie, Chengjun;  Wang, Rujing
收藏  |  浏览/下载：13/0  |  提交时间：2022/12/23
Pest detection  Clustered tiny object  Small object detection  Image dataset  
Recognition and counting of wheat mites in wheat fields by a three-step deep learning method 期刊论文
NEUROCOMPUTING, 2021, 卷号: 437
作者:  Chen, Peng;  Li, WeiLu;  Yao, SiJie;  Ma, Chun;  Zhang, Jun;  Wang, Bing;  Zheng, ChunHou;  Xie, ChengJun;  Liang, Dong
收藏  |  浏览/下载：68/0  |  提交时间：2021/05/10
Pest identification  Pest counting  Convolutional neural network  Region proposal network  
RFP-Net: Receptive field -based proposal generation network for object detection 期刊论文
NEUROCOMPUTING, 2020
作者:  Jiao, Lin;  Zhang, Shengyu;  Dong, Shifeng;  Wang, Hongqiang
浏览  |  Adobe PDF(3378Kb)  |  收藏  |  浏览/下载：70/31  |  提交时间：2020/10/26
Cross-covariance regularized autoencoders for nonredundant sparse feature representation 期刊论文
NEUROCOMPUTING, 2018, 卷号: 316, 页码: 49-58
作者:  Chen, Jie;  Wu, ZhongCheng;  Zhang, Jun;  Li, Fang;  Li, WenJing;  Wu, ZiHeng
收藏  |  浏览/下载：42/0  |  提交时间：2019/12/11
Autoencoder  Cross-covariance  Deep learning  Feature representation  Receptive fields  
A new Gabor based approach for wood recognition 期刊论文
NEUROCOMPUTING, 2013, 卷号: 116
作者:  Hang-jun Wang;  Heng-nianQi;  Xiao-FengWang
Adobe PDF(2041Kb)  |  收藏  |  浏览/下载：335/171  |  提交时间：2013/08/15