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Workshop and Challenge on Perceptual Image Restoration and Manipulation
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
A multisource building change detection dataset for deep learning
a reimplementation of Holistically-Nested Edge Detection in PyTorch
Implementation of SENets by chainer (Squeeze-and-Excitation Networks: https://arxiv.org/abs/1709.01507)
[TPAMI]CTNet: Context-based Tandem Network for Semantic Segmentation
The semantic segmentation of remote sensing images
Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
Add bisenetv2. My implementation of BiSeNet
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image …
The semantic segmentation of remote sensing images
Pytorch codes for 'LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images'
Pytorch code for semantic segmentation using ERFNet
code and trained models for "Attentional Feature Fusion"
Richer Convolutional Features for Edge Detection model in pytorch CVPR2017
Collection of generative models in Pytorch version.
Edge Loss Reinforced Semantic Segmentation Network for Remote Sensing Images
a novel change detection method for high resolution remote sensing images based on edge mapping and deep learning
A Coarse-to-fine Boundary Refinement Network for Building Extraction from Remote Sensing Imagery