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Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation

  • Published:2023-10-01 Issue: Volume:32 Page:16737-16747
  • ISSN:
  • Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
  • language:
  • Short-container-title:

Author:

Dong Runmin1,Mou Lichao2,Chen Mengxuan1,Li Weijia3,Tong Xin-Yi2,Yuan Shuai1,Zhang Lixian1,Zheng Juepeng3,Zhu Xiao Xiang2,Fu Haohuan1

Affiliation:

1. Tsinghua University

2. Technical University of Munich

3. Sun Yat-Sen University

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Ministry of Education

Publisher

IEEE

Reference47 articles.

1. Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank

2. Dynamic World, Near real-time global 10 m land use land cover mapping

3. A systematic study of the class imbalance problem in convolutional neural networks

4. What is the effect of importance weighting in deep learning?;Byrd

5. Learning imbalanced datasets with label-distribution-aware margin loss;Cao;Advances in neural information processing systems,2019

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