Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Anjing Guo"'
Publikováno v:
Information Fusion. 93:118-131
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-17
Publikováno v:
National Science Review.
This paper reports the background and results of the Surface Defect Detection Competition with Bio-inspired Vision Sensor, as well as summarizes the champion solutions, current challenges and future directions.
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-16
Publikováno v:
Engineering Applications of Artificial Intelligence. 121:106040
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-12
Deep learning for image denoising has recently attracted considerable attentions due to its excellent performance. Since most of current deep learning-based denoising models require a large number of clean images for training, it is difficult to exte
Autor:
Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabarinathan Sabarinathan, K Uma, B Sathya Bama, S. Mohamed Mansoor Roomi
This paper reviews the third biennial challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. This challenge presents the "ARAD_1K"data set: a new, larger-than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b14c6f9646b01a471ce946e43634fa64
http://hdl.handle.net/11583/2971543
http://hdl.handle.net/11583/2971543
Publikováno v:
IGARSS
Image registration and the estimation of spatial and spectral blur kernels are essential steps before fusing panchromatic image (PAN) and multispectral image (MSI). Usually, these basic steps are performed separately, which will lead to error accumul
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 29:5345-5355
Hyperspectral image (HSI) sharpening, which aims at fusing an observable low spatial resolution (LR) HSI (LR-HSI) with a high spatial resolution (HR) multispectral image (HR-MSI) of the same scene to acquire an HR-HSI, has recently attracted much att
Publikováno v:
IGARSS
Deep learning (DL) for pansharpening has recently attracted considerable attentions. To construct training data, DL based pansharpening approaches often downsample the original multispectral image (MSI) and panchromatic image (PAN) with fixed blur ke