Portrait Segmentation
6 papers with code • 1 benchmarks • 3 datasets
Latest papers with no code
Towards Unbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation
That is, motion of different parts of the portraits is unbalanced.
Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models
In this paper, we propose a novel approach using an ensemble method by combining multiple heterogeneous deep-learning based portrait segmentation models to improve the segmentation performance.
Fast Portrait Segmentation with Highly Light-weight Network
In this paper, we describe a fast and light-weight portrait segmentation method based on a new highly light-weight backbone (HLB) architecture.
Region Refinement Network for Salient Object Detection
Albeit intensively studied, false prediction and unclear boundaries are still major issues of salient object detection.
Rendering Portraitures from Monocular Camera and Beyond
Specifically, we first exploit Convolutional Neural Networks to estimate the relative depth and portrait segmentation maps from a single input image.
Boundary-sensitive Network for Portrait Segmentation
Compared to the general semantic segmentation problem, portrait segmentation has higher precision requirement on boundary area.