Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

Interactive single-image segmentation is ubiquitous in the scientific and commercial imaging
software. Lightweight neural network is one practical and effective way to accomplish the …

Recently, concerning the challenge of collecting large-scale explicitly annotated videos,
weakly supervised video object segmentation (WSVOS) using video tags has attracted much …

Recent interest in the combination of visual object tracking (VOT) and video object
segmentation (VOS) has yielded rapid progress. However, existing segmentation methods …

Single-object visual tracking aims at locating a target in each video frame by predicting the
bounding box of the object. Recent approaches have adopted iterative procedures to …

This paper presents an approach to single-object video object segmentation, only using the
first-frame bounding box (without mask) to initialize. The proposed method is a tracking …

Siamese-based segmentation and tracking algorithms improve accuracy and stability for
video object segmentation and tracking tasks simultaneously. Although effective, variability …

A novel video object segmentation algorithm, which segments out multiple objects in a video
sequence in unsupervised or weakly supervised manners, is proposed in this work. First, we …

Recently, in the field of visual object tracking, visual object tracking algorithms combined
with visual object segmentation have achieved impressive results while using mask to label …

Visual object tracking plays a crucial role in various vision systems, including biometric
analysis, medical imaging, smart traffic systems, and video surveillance. Despite notable …