DIC-Transformer: interpretation of plant disease classification results using image caption generation technology [PDF]
Frontiers in Plant Science, 2023 Disease image classification systems play a crucial role in identifying disease categories in the field of agricultural diseases. However, current plant disease image classification methods can only predict the disease category and do not offer ...
Qingtian Zeng, Jian Sun, Shansong Wang
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Enhancing image caption generation through context-aware attention mechanism [PDF]
HeliyonImage captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction.
Ahatesham Bhuiyan +3 more
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VSAM-Based Visual Keyword Generation for Image Caption
IEEE Access, 2021 Image caption is to understand and describe the visual content, which is expected to be applied in automatic news reporting in future. In recent years, there has been an increasing interest in an Encoder-Decoder framework for image caption: the encoder ...
Suya Zhang +3 more
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PBC-Transformer: Interpreting Poultry Behavior Classification Using Image Caption Generation Techniques [PDF]
AnimalsAccurate classification of poultry behavior is critical for assessing welfare and health, yet most existing methods predict behavior categories without providing explanations for the image content. This study introduces the PBC-Transformer model, a novel
Jun Li +7 more
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Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
IEEE Access, 2020 Recently, automatic image caption generation has been an important focus of the work on multimodal translation task. Existing approaches can be roughly categorized into two classes, top-down and bottom-up, the former transfers the image information ...
Ling Cheng +4 more
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Cross-Lingual Image Caption Generation Based on Visual Attention Model
IEEE Access, 2020 As an interesting and challenging problem, generating image caption automatically has attracted increasingly attention in natural language processing and computer vision communities.
Bin Wang +5 more
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Fine-Tuning a Small Vision Language Model Using Synthetic Data for Explaining Bacterial Skin Disease Images [PDF]
DiagnosticsBackground/Objectives: Vision language models (VLMs) show strong potential for medical image understanding, but their large scale often limits practical deployment. This study investigates whether a compact VLM can be effectively adapted for dermatology,
Shiwan Zhang +3 more
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Review of Image Captioning Methods Based on Encoding-Decoding Technology [PDF]
Jisuanji kexue yu tansuo, 2022 In recent years, image caption generation, as a multimodal task in the field of artificial intelligence, integrates the related research of computer vision and natural language processing, and can realize the modal conversion from image to text. It plays
GENG Yaogang, MEI Hongyan, ZHANG Xing, LI Xiaohui
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Image Captioning Using Motion-CNN with Object Detection
Sensors, 2021 Automatic image captioning has many important applications, such as the depiction of visual contents for visually impaired people or the indexing of images on the internet.
Kiyohiko Iwamura +4 more
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Multifaceted Feature Coding Image Caption Generation Algorithm Based on Transformer [PDF]
Jisuanji gongcheng, 2023 Object features extracted by object detection algorithms play an increasingly critical role in the generation of image captions.However, only using the features of object detection as the input of an image caption task can lead to the loss of other ...
HENG Hongjun, FAN Yuchen, WANG Jialiang
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