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ISTA-Inspired Network for Image Super-Resolution
Inspired by the mathematical analysis, the ISTA block is developed to conduct the optimization in an end-to-end manner.
RelationRS: Relationship Representation Network for Object Detection in Aerial Images
To address these issues, we propose a relationship representation network for object detection in aerial images (RelationRS): 1) Firstly, multi-scale features are fused and enhanced by a dual relationship module (DRM) with conditional convolution.
Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss
To achieve high detection accuracy on imbalanced data, we design a novel attack-sharing loss function that can effectively move the decision boundary towards the attack classes and eliminates the bias towards the majority/benign class.
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