Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
Monocular 3D object parsing is highly desirable in various scenarios including occlusion reasoning and holistic scene interpretation. We present a deep convolutional neural network (CNN) architecture to localize semantic parts in 2D image and 3D space while inferring their visibility states, given a single RGB image. Our key insight is …