Occluded Scene Classification via Cascade Supervised Contrastive Learning-Reference-Cited by-同舟云学术

Occluded Scene Classification via Cascade Supervised Contrastive Learning

Published:2023 Issue: Volume:16 Page:4565-4578
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Xu Jianming¹^ORCID,Li Yunfei¹^ORCID,Shi Qian¹^ORCID,He Lin²^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Urbanization and Geosimulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

2. School of Automation Science and Engineering, South China University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10122892.pdf?arnumber=10122892

Reference55 articles.

1. Self-Supervised Scene De-Occlusion

2. Variable Few Shot Class Incremental and Open World Learning

3. Occluded Object Detection in High-Resolution Remote Sensing Images Using Partial Configuration Object Model

4. Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion

5. Automated terrain feature identification from remote sensing imagery: a deep learning approach

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