Robotics & Machine Learning Daily News2024,Issue(Dec.20) :27-28.

East China Normal University Researchers Broaden Understanding of Intelligent Sy stems (Non-target feature filtering for weakly supervised semantic segmentation)

Robotics & Machine Learning Daily News2024,Issue(Dec.20) :27-28.

East China Normal University Researchers Broaden Understanding of Intelligent Sy stems (Non-target feature filtering for weakly supervised semantic segmentation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on intelligent systems is the subject of a new report. According to news reporting from East China Normal University by NewsRx journalists, research stated, “Weakly supervisedsemantic segmentation (WSSS) utilizes weak labels to learn semantic segmentation models, significantlyreducing reliance on pixel-level annotations. WSSS typically emplo ys a multi-label classification networkto extract image features for constructi ng localization maps.”

Key words

East China Normal University/Intelligen t Systems/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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