DLC: Dynamic Loss Correction for Cross-Domain Remotely Sensed Segmentation
Author:
Affiliation:
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10531727.pdf?arnumber=10531727
Reference58 articles.
1. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
2. Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation
3. Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion
4. MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification
5. SpectralGPT: Spectral Remote Sensing Foundation Model
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