The existence of software vulnerabilities will cause serious network attacks and information leakage problems. Timely accurate detection in has become a research focus on the security field. Most existing work only considers instruction-level features, which to some extent overlooks certain syntax semantic assembly code segments, affecting accuracy model. In this paper, we propose binary vulner...

Image keypoint detection and description is a popular method to find pixel-level connections between images, which basic critical step in many computer vision tasks. The existing methods are far from optimal terms of positioning accuracy generation robust discriminative descriptors. This paper proposes new end-to-end self-supervised training deep learning network. network uses backbone feature ...

In this paper, we propose a new method for measuring the similarity between two arbitrarily shaped video objects. Our method is based on comparing the low-level still features of the representative planes of video objects. We demonstrate the performance of the proposed method in a shape retrieval system in which boundaryand region-based still shape features were employed to retrieve video objec...