HIGHLIGHTS
- who: Sajad Dadgar and Mehdi Neshat from the Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran have published the research work: A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media, in the Journal: Sensors 2022, 22, 9870. of /2022/
- what: The authors propose a novel hybrid deep learning detection by fusing visual and textual modality. In light of the results the authors show that the multimodal model outperforms other models and the effectiveness of object detection in detecting mismatched information. The authors propose detection models to . . .
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