Abstract: Object detection is a critical component of various security-sensitive applications, such as autonomous driving and video surveillance. However, existing object detectors are vulnerable to ...
DEIM is an advanced training framework designed to enhance the matching mechanism in DETRs, enabling faster convergence and improved accuracy. It serves as a robust foundation for future research and ...
Abstract: Graph Neural Networks (GNNs) have demonstrated strong potential for identifying software vulnerabilities by leveraging the structured representation of code as graphs. In this paper, we ...
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