首页|New Findings on Computational Intelligence from East China University of Science and Technology Summarized (Ma-mfcnet: Mixed Attention-based Multi-scale Feature Calibration Network for Image Dehazing)
New Findings on Computational Intelligence from East China University of Science and Technology Summarized (Ma-mfcnet: Mixed Attention-based Multi-scale Feature Calibration Network for Image Dehazing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning - Computational Intelligence have been presented. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “High-quality clear images are the basis for advanced vision tasks such as targ et detection and semantic segmentation. This paper proposes an image dehazing al gorithm named mixed attention-based multi-scale feature calibration network, aim ing at solving the problem of uneven haze distribution in low-quality fuzzy imag es acquired in foggy environments, which is difficult to remove effectively.”
ShanghaiPeople’s Republic of ChinaAs iaComputational IntelligenceMachine LearningAlgorithmsEast China Univers ity of Science and Technology
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