首页|Studies from Ministry of Education in the Area of Computational Intelligence Rep orted (Mtcam: a Novel Weakly-supervised Audiovisual Saliency Prediction Model W ith Multi-modal Transformer)
Studies from Ministry of Education in the Area of Computational Intelligence Rep orted (Mtcam: a Novel Weakly-supervised Audiovisual Saliency Prediction Model W ith Multi-modal Transformer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning - Computational Intelligence. Accordingto news reporting originating in Shanghai, People’s Republic of China, by NewsRx journalists,research stated, “Although various video saliency models have achieved considerable performance gains,existing deep learning-based audio-visual saliency prediction models are still in the early exploration stage.The major challenge is that there are rela tively few audio-visual sequences with real human eye fixationscollected under the audio-visual circumstance.”
ShanghaiPeople’s Republic of ChinaAs iaComputational IntelligenceMachine LearningMinistry of Education
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