Search Results for author: Kaiyue Liu

Found 2 papers, 1 papers with code

RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation

no code implementations19 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.

Semantic Segmentation

CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation

1 code implementation1 Aug 2021 Haitong Tang, Shuang He, 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.

Semantic Segmentation

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