Deep learning for visual tracking: A comprehensive survey
SM Marvasti-Zadeh, L Cheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …
Video object segmentation and tracking: A survey
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 …
vision community. These two topics are difficult to handle some common challenges, such …
Video object segmentation with episodic graph memory networks
How to make a segmentation model efficiently adapt to a specific video as well as online
target appearance variations is a fundamental issue in the field of video object …
target appearance variations is a fundamental issue in the field of video object …
Fast online object tracking and segmentation: A unifying approach
In this paper we illustrate how to perform both visual object tracking and semi-supervised
video object segmentation, in real-time, with a single simple approach. Our method, dubbed …
video object segmentation, in real-time, with a single simple approach. Our method, dubbed …
A survey on deep learning technique for video segmentation
Video segmentation—partitioning video frames into multiple segments or objects—plays a
critical role in a broad range of practical applications, from enhancing visual effects in movie …
critical role in a broad range of practical applications, from enhancing visual effects in movie …
One-shot video object segmentation
This paper tackles the task of semi-supervised video object segmentation, ie, the separation
of an object from the background in a video, given the mask of the first frame. We present …
of an object from the background in a video, given the mask of the first frame. We present …
Boosting video object segmentation via space-time correspondence learning
Current top-leading solutions for video object segmentation (VOS) typically follow a
matching-based regime: for each query frame, the segmentation mask is inferred according …
matching-based regime: for each query frame, the segmentation mask is inferred according …
Learning video object segmentation from static images
Inspired by recent advances of deep learning in instance segmentation and object tracking,
we introduce the concept of convnet-based guidance applied to video object segmentation …
we introduce the concept of convnet-based guidance applied to video object segmentation …
Siammask: A framework for fast online object tracking and segmentation
In this article, we introduce SiamMask, a framework to perform both visual object tracking
and video object segmentation, in real-time, with the same simple method. We improve the …
and video object segmentation, in real-time, with the same simple method. We improve the …
Hedged deep tracking
In recent years, several methods have been developed to utilize hierarchical features
learned from a deep convolutional neural network (CNN) for visual tracking. However, as the …
learned from a deep convolutional neural network (CNN) for visual tracking. However, as the …