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Chapter and Conference Paper
Super Resolution of Unpaired MR Images Based on Domain Migration
High-resolution magnetic resonance imaging (MRI) is very important for doctors to judge the condition. At present, the depth learning method has been widely studied in the super-resolution reconstruction of MR...
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Chapter and Conference Paper
Radar Waveform Gaming Configurable Framework Based on Deep Reinforcement Learning
Radar faces a variety of different jamming techniques, among which mainlobe jamming is difficult to deal with. Traditional experience-based passive anti-jamming methods are usually less effective when facing f...
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Chapter and Conference Paper
Small Object Detection Based on Multi-source Data Learning Fusion Network
Small object group detection is a difficult task in the field of object detection. In recent years, with the development of sensing technology and unmanned driving, there are more and more multi-source data in...