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pro vyhledávání: '"Jiashuaizi Mo"'
Publikováno v:
IEEE Access, Vol 9, Pp 57325-57337 (2021)
Image deraining is a low-level restoration task that has become quite popular during the past decades. Although recent data-driven deraining models exhibit promising results, most of these models are trained on synthetic rain data sets which do not g
Externí odkaz:
https://doaj.org/article/db778bf8e7f94c34bbaf2bda25459dfc
Autor:
Liyuan Chen, Huawen Liu, Jiashuaizi Mo, Dawei Zhang, Jie Yang, Feilong Lin, Zhonglong Zheng, Riheng Jia
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:2153-2169
Publikováno v:
IEEE Access, Vol 9, Pp 57325-57337 (2021)
Image deraining is a low-level restoration task that has become quite popular during the past decades. Although recent data-driven deraining models exhibit promising results, most of these models are trained on synthetic rain data sets which do not g
Publikováno v:
2021 International Conference on Computer Communication and Artificial Intelligence (CCAI).
Based on convolutional neural networks (CNNs), recent fine-grained visual classification (FGVC) are solved by locating the most discriminative parts, aggregating the most remarkable feature maps and learning high-order encoding. These works have prop