HIGHLIGHTS
- who: -Remote sensing images et al. from the are with College of Information and Communications Engineering, Harbin Engineering University, Harbin , China have published the research: G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images, in the Journal: (JOURNAL)
- what: Aiming at the complex background of and the lack of interpretability of existing target detection models and the problems in feature extraction between different network structures different layers and the accuracy of target classification the authors propose an object detection and interpretation model . . .
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