no code implementations • 19 Sep 2021 • Shuang He, Xia Lu, Jason Gu, Haitong Tang, Qin Yu, Kaiyue Liu, Haozhou Ding, Chunqi Chang, Nizhuan Wang
For semantic segmentation of remote sensing images (RSI), trade-off between representation power and location accuracy is quite important.
1 code implementation • 1 Aug 2021 • Haitong Tang, Shuang He, Mengduo Yang, Xia Lu, Qin Yu, Kaiyue Liu, Hongjie Yan, Nizhuan Wang
Through extensive analysis and experiments, we provided credible evidence showing that the multi-layer convolutional sparse coding block enables semantic segmentation model to converge faster, can extract finer semantic and appearance information of images, and improve the ability to recover spatial detail information.
2 code implementations • CVPR 2022 • Adrian Wolny, Qin Yu, Constantin Pape, Anna Kreshuk
Most state-of-the-art instance segmentation methods have to be trained on densely annotated images.
no code implementations • 7 Dec 2019 • Miao Du, Qin Yu, Shaomin Fei, Chen Wang, Xiao-Feng Gong, Ruisen Luo
Nowadays, we mainly use various convolution neural network (CNN) structures to extract features from radio data or spectrogram in AMR.