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CSNet-Pytorch - GitHub Pytorch code for paper "Deep Networks for Compressed Image Sensing" and "Image Compressed Sensing Using Convolutional Neural Network" - WenxueCui CSNet-Pytorch
CSNet: A Remote Sensing Image Semantic Segmentation Network . . . - MDPI CSNet is built upon the SegNet architecture and incorporates a coordinate attention (CA) mechanism, which enables the network to focus on salient features and capture global spatial information, thereby improving segmentation accuracy and facilitating the recovery of spatial structures
CSNet: Cross-Stage Subtraction Network for Real-Time Semantic . . . Learning multi-scale feature representations is essential for dense prediction tasks in autonomous driving Most existing works are based on U-shaped architectures, where high-resolution representations are progressively recovered by connecting different levels of the decoder with low-resolution representations from the encoder We observed that rich details from low-level representation and
ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing In this paper, we propose two versions of a novel deep learning architecture, dubbed as ADMM-CSNet, by combining the traditional model-based CS method and data-driven deep learning method for image reconstruction from sparsely sampled measurements
GitHub - yangyan92 Pytorch_ADMM-CSNet The nonlinear layer of ADMM-CSNet in pytorch version was supported by the torchpwl package Replace torchpwl package in your env with which we have provided in the torchpwl folder after installing