Search Results for author:
Found 4 papers, 1 papers with code
When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection
In this paper, we focus on the Positive and Unlabeled (PU) learning problem for vulnerability detection and propose a novel model named PILOT, i. e., PositIve and unlabeled Learning mOdel for vulnerability deTection.
Machine vision detection to daily facial fatigue with a nonlocal 3D attention network
Our experimental results in multiple metrics proved that our framework captured some typical, micro and dynamic facial features along spatiotemporal dimensions, contributing to the mild fatigue detection in the wild.
Zero Cost Improvements for General Object Detection Network
In this work, two modules are proposed to improve detection precision with zero cost, which are focus on FPN and detection head improvement for general object detection networks.
A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks
Given different types of constraints on human life, people must make decisions that satisfy social activity needs.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
