Robotics & Machine Learning Daily News2024,Issue(Jul.16) :12-13.

Study Data from Shandong Normal University Update Understanding of Intelligent S ystems (Nested Attention Network Based On Category Contexts Learning for Semanti c Segmentation)

Robotics & Machine Learning Daily News2024,Issue(Jul.16) :12-13.

Study Data from Shandong Normal University Update Understanding of Intelligent S ystems (Nested Attention Network Based On Category Contexts Learning for Semanti c Segmentation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning - Intelligent Systems. Accordingto news reporting originating in Shandong, People’s Republic of China, by NewsRx journalists, researchstated, “ The attention mechanism is widely used in the field of semantic segmentation, du e to thefact that it can be used to obtain effective long-distance dependencies by assigning different weights toobjects according to different tasks. We prop ose a novel Nested Attention Network (NANet) for semanticsegmentation, which co mbines Feature Category Attention (FCA) and Channel Relationship Attention(CRA) to effectively aggregate same-category contexts in both spatial and channel dim ensions.”

Key words

Shandong/People’s Republic of China/As ia/Intelligent Systems/Machine Learning/Shandong Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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