TMVOS: Triplet Matching for Efficient Video Object Segmentation-Reference-Cited by-同舟云学术

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TMVOS: Triplet Matching for Efficient Video Object Segmentation

Published:2022-09 Issue: Volume:107 Page:116779
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Liu Jiajia,Dai Hong-Ning,Zhao Guoying,Li Bo^ORCID,Zhang Tianqi

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference38 articles.

1. Selective video object cutout;Wang;IEEE Trans. Image Process.,2017

2. An end-to-end 3D convolutional neural network for action detection and segmentation in videos;Hou,2017

3. Fast online object tracking and segmentation: A unifying approach;Wang,2019

4. Multi-attention network for unsupervised video object segmentation;Zhang;IEEE Signal Process. Lett.,2020

5. Video object segmentation by latent outcome regression;Zhang;IEEE Access,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Video object segmentation based on dynamic perception update and feature fusion;Image and Vision Computing;2024-10

2. Multi-scale Deep Feature Transfer for Automatic Video Object Segmentation;Neural Processing Letters;2023-08-28

3. LCIF-Net: Local criss-cross attention based optical flow method using multi-scale image features and feature pyramid;Signal Processing: Image Communication;2023-03

4. Self-supervised Video Object Segmentation Using Motion Feature Compensation;Artificial Neural Networks and Machine Learning – ICANN 2023;2023

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