We study the composition style in deep image matting, a notion that characterizes data generation flow on how to exploit limited foregrounds and random backgrounds form training dataset. Prior art executes this completely manner by simply going through foreground pool or optionally combining two before foreground-background composition. In work, we first show naive combination can be problemati...

To solve the problem that deep learning-based image matting algorithm cannot balance accuracy and model size, a lightweight based on learning is proposed. Considering limitation of memory computing resources, aiming at lightweight. We construct network gradually improved it. Firstly, apply detachable convolution to networks form faster stronger encoder decoder networks. The simultaneous use dep...

Abstract This paper presents the concept, design, fabrication, application and experimental validation of a new type composite sandwich matting. The matting comprises paulownia woods as core material glass fiber reinforced plastic (GFRP) face-skins lattice-webs. was fabricated by vacuum infusion moulding process (VIMP). mechanical properties component materials were studied. Four-point bending ...

A rare type of bezoar composed of coconut matting was found in the stomach of a caucasian man. The exact identity of the fibres was established by scanning electron microscopy, x-ray energy spectroscopy, and microscopic infrared spectroscopy. This report illustrates the importance of these techniques for identifying the nature of foreign material.

There is a pressing need to develop engineering standards for timber- and other wood-based mats suitable supporting construction vehicles, etc. In 2018, group of mat producers users began discussing potential grading standard specific mats. are large gaps in the literature regarding performance available raw materials as well bolt-laminated systems. This study addresses issue determining streng...

Existing portrait matting methods either require auxiliary inputs that are costly to obtain or involve multiple stages computationally expensive, making them less suitable for real-time applications. In this work, we present a light-weight objective decomposition network (MODNet) in with single input image. The key idea behind our efficient design is by optimizing series of sub-objectives simul...

This paper addresses the problem of extracting an alpha matte from a single photograph given a user-defined trimap. A crucial part of this task is the color modeling step where for each pixel the optimal alpha value, together with its confidence, is estimated individually. This forms the data term of the objective function. It comprises of three steps: (i) Collecting a candidate set of potentia...