Robotics & Machine Learning Daily News2024,Issue(Oct.24) :9-10.

Findings in Computational Intelligence Reported from Dalian Maritime University (Cigf-net: Cross-modality Interaction and Globalfeature Fusion for Rgb-t Semantic Segmentation)

Robotics & Machine Learning Daily News2024,Issue(Oct.24) :9-10.

Findings in Computational Intelligence Reported from Dalian Maritime University (Cigf-net: Cross-modality Interaction and Globalfeature Fusion for Rgb-t Semantic Segmentation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning - Computational Intelligence are discussed in a new report. According to news re porting out of Dalian, People’s Republic of China, by NewsRx editors, research s tated, “RGB-T semantic segmentation aims to enhance the robustness of segmentati on methods in complex environments by utilizing thermal information. To facilita te the effective interaction and fusion of multimodal information, we propose a novel Cross-modality Interaction and Global-feature Fusion Network, namely CIGF- Net.”

Key words

Dalian/People’s Republic of China/Asia/Computational Intelligence/Machine Learning/Dalian Maritime University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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