Semi-supervised Learning

Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

Semi-supervised learning has attracted much attention in medical image segmentation due to challenges in acquiring pixel-wise image annotations, which is a crucial step for building high-performance deep learning methods. Most existing …

3D Object Structure Recovery via Semi-supervised Learning on Videos

This paper addresses the problem of joint 3D object structure and camera pose estimation from a single RGB image. Existing approaches typically rely on both images with 2D keypoint annotations and 3D synthetic data to learn a deep network model due …