Mengyue Shao1, Jie Feng1,*, Jie Wu1, Haixiang Zhang1, Yayu Zheng2
CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 4697-4712, 2023, DOI:10.32604/cmc.2023.036564
Abstract Image captioning involves two different major modalities (image and sentence) that convert a given image into a language that adheres to visual semantics. Almost all methods first extract image features to reduce the difficulty of visual semantic embedding and then use the caption model to generate fluent sentences. The Convolutional Neural Network (CNN) is often used to extract image features in image captioning, and the use of object detection networks to extract region features has achieved great success. However, the region features retrieved by this method are object-level and do not pay attention to fine-grained details because of the detection… More >
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