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Jiang et al., 2022 - Google Patents

Sparse attention module for optimizing semantic segmentation performance combined with a multi-task feature extraction network

Jiang et al., 2022

Document ID
15194121620421990773
Author
Jiang M
Zhai F
Kong J
Publication year
Publication venue
The Visual Computer

External Links

Snippet

In the task of semantic segmentation, researchers often use self-attention module to capture long-range contextual information. These methods are often effective. However, the use of the self-attention module will cause a problem that cannot be ignored, that is, the huge …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
    • G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
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