Learning Contrast-Enhanced Shape-Biased Representations for Infrared Small Target Detection
Author:
Affiliation:
1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
2. Department of Communication Engineering, Shanghai University, Shanghai, China
Funder
Pioneer Research and Development Program of Zhejiang Province
National Key Research and Development Plan
Open Research Project of the State Key Laboratory of Media Convergence and Communication, Communication University of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/83/10346232/10508299.pdf?arnumber=10508299
Reference72 articles.
1. Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
2. Classification of small boats in infrared images for maritime surveillance
3. STDMANet: Spatio-Temporal Differential Multiscale Attention Network for Small Moving Infrared Target Detection
4. Infrared small target segmentation networks: A survey
5. ISNet: Shape Matters for Infrared Small Target Detection
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