Search Results for author:
Found 3 papers, 0 papers with code
Multi-organ Segmentation Network with Adversarial Performance Validator
The proposed network organically converts the 2D-coarse result to 3D high-quality segmentation masks in a coarse-to-fine manner, allowing joint optimization to improve segmentation accuracy.
Deep Open Set Identification for RF Devices
Artificial intelligence (AI) based device identification improves the security of the internet of things (IoT), and accelerates the authentication process.
ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation
Lane segmentation is a challenging issue in autonomous driving system designing because lane marks show weak textural consistency due to occlusion or extreme illumination but strong geometric continuity in traffic images, from which general convolution neural networks (CNNs) are not capable of learning semantic objects.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
