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FarSeg
FarSeg PublicForked from Z-Zheng/FarSeg
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020) https://arxiv.org/pdf/2011.09766.pdf
Python
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FreeNet
FreeNet PublicForked from Z-Zheng/FreeNet
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624
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LoveCS
LoveCS PublicForked from Junjue-Wang/LoveCS
[RSE 2022] Cross-sensor domain adaptation for high-spatial resolution urban land-cover mapping: from airborne to spaceborne imagery
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LoveDA
LoveDA PublicForked from Junjue-Wang/LoveDA
[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
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FactSeg
FactSeg PublicForked from Junjue-Wang/FactSeg
[TGRS 2021] FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery
Python
Repositories
- LoveCS Public Forked from Junjue-Wang/LoveCS
[RSE 2022] Cross-sensor domain adaptation for high-spatial resolution urban land-cover mapping: from airborne to spaceborne imagery
- LoveDA Public Forked from Junjue-Wang/LoveDA
[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
- FactSeg Public Forked from Junjue-Wang/FactSeg
[TGRS 2021] FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery
- Change-Detection-Review Public Forked from AngieNikki/Change-Detection-Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
- FarSeg Public Forked from Z-Zheng/FarSeg
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020) https://arxiv.org/pdf/2011.09766.pdf
- FreeNet Public Forked from Z-Zheng/FreeNet
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624
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