A Semi-supervised Video Object Segmentation Method Based on Adaptive Memory Module

Shaohua Yang; Zhiming Luo; Donglin Cao; Dazhen Lin; Songzhi Su; Shaozi Li

doi:10.1007/978-981-19-4546-5_34

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A Semi-supervised Video Object Segmentation Method Based on Adaptive Memory Module

Shaohua Yang Zhiming Luo Donglin Cao Dazhen Lin Songzhi Su Shaozi Li

Year: 2022 Communications in computer and information science Pages: 437-450 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-19-4546-5_34

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Keywords:

Computer science Computer vision Segmentation Artificial intelligence Object (grammar) Video tracking Task (project management) Image segmentation Object detection Computation

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Topics

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A Semi-supervised Video Object Segmentation Method Based on Adaptive Memory Module

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