Ship Detection in SAR Images Based on Oriented Bounding Box and Supervised Contrastive Learning
Author:
Affiliation:
1. School of Computer Science & Technology, Beijing Institute of Technology, China
2. China North Artificial Intelligence & Innovation Research Institute, China
Funder
Opening Project of Key Laboratory of Technology on intelligent Transportation Systems
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3647649.3647709
Reference15 articles.
1. HRSID: A high-resolution SAR images dataset for ship detection and instance segmentation;Wei Shunjun;IEEE Access,2020
2. Ship detection in SAR images based on an improved faster R-CNN. In 2017 SAR in Big Data Era: Models, Methods and Applications (BIGSARDATA);Li Jianwei;IEEE,2017
3. Ship Detection Based on YOLOv2 for SAR Imagery
4. Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection
5. A Deep Neural Network Based on an Attention Mechanism for SAR Ship Detection in Multiscale and Complex Scenarios
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