Switch and Refine: A Long-Term Tracking and Segmentation Framework-Reference-Cited by-同舟云学术

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Switch and Refine: A Long-Term Tracking and Segmentation Framework

Published:2023-03 Issue:3 Volume:33 Page:1291-1304
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Xu Xiang¹^ORCID,Zhao Jian²^ORCID,Wu Jianmin³,Shen Furao¹^ORCID

Affiliation:

1. State Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University, Nanjing, China

2. School of Electronic Science and Engineering, Nanjing University, Nanjing, China

3. State Grid Shanghai Maintenance Company, Putuo, China

Funder

State Grid Corporation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10061510/09904578.pdf?arnumber=9904578

Reference77 articles.

1. ‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-Term Tracking

2. SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation

3. High-Performance Long-Term Tracking With Meta-Updater

4. Learning Fast and Robust Target Models for Video Object Segmentation

5. The Seventh Visual Object Tracking VOT2019 Challenge Results

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1. A lightweight target tracking algorithm based on online correction for meta-learning;Journal of Visual Communication and Image Representation;2024-08

2. Target-Aware Tracking With Spatial-Temporal Context Attention;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

3. Online Infrared UAV Target Tracking With Enhanced Context-Awareness and Pixel-Wise Attention Modulation;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

5. A Lightweight Target Tracking Algorithm Based on 1 Online Correction for Meta-learning;2024

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