Results 41 to 50 of about 13,237 (113)

Efficient Explainable Metric for Semantic Communication of Images Using Image Captioning

IEEE Access
As existing networks are projected to reach the theoretical limit for Shannon capacity, the concept of semantic communication is proposed in literature.
Asma O. Mahgoub, Elias Yaacoub
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A Systematic Literature Review on Image Captioning

Applied Sciences, 2019
Natural language problems have already been investigated for around five years. Recent progress in artificial intelligence (AI) has greatly improved the performance of models. However, the results are still not sufficiently satisfying.
Raimonda Staniūtė, Dmitrij Šešok
doaj   +1 more source

Tiny TR-CAP: A novel small-scale benchmark dataset for general-purpose image captioning tasks

Engineering Science and Technology, an International Journal
In the last decade, the outstanding performance of deep learning has also led to a rapid and inevitable rise in automatic image captioning, as well as the need for large amounts of data.
Abbas Memiş, Serdar Yıldız
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Insertion-based Decoding with Automatically Inferred Generation Order

Transactions of the Association for Computational Linguistics, 2019
Conventional neural autoregressive decoding commonly assumes a fixed left-to-right generation order, which may be sub-optimal. In this work, we propose a novel decoding algorithm— InDIGO—which supports flexible sequence generation in arbitrary orders ...
Gu, Jiatao, Liu, Qi, Cho, Kyunghyun
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Cap2Seg: leveraging caption generation for enhanced segmentation of COVID-19 medical images

Frontiers in Physics
Incorporating medical text annotations compensates for the quality deficiencies of image data, effectively overcoming the limitations of medical image segmentation.
Wanlong Zhao, Wanlong Zhao, Fan Li, Fan Li, Yueqin Diao, Yueqin Diao, Puyin Fan, Puyin Fan, Zhu Chen, Zhu Chen   +9 more
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Image caption generation based on dynamic path and local vision fusion

Dianzi Jishu Yingyong
Image caption generation aims to generate semantically coherent text descriptions for images. Existing dynamic networks are mostly limited to adjusting convolutional kernels, lacking spatial multi-scale and channel-level modeling, and the cross-layer ...
Wang Ximeng, Li Penghui, Zhao Haoyang, Zhao Wenbin   +3 more
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Novel Advance Image Caption Generation Utilizing Vision Transformer and Generative Adversarial Networks

Computers
In this paper, we propose a novel method for producing image captions through the utilization of Generative Adversarial Networks (GANs) and Vision Transformers (ViTs) using our proposed Image Captioning Utilizing Transformer and GAN (ICTGAN) model.
Shourya Tyagi, Olukayode Ayodele Oki, Vineet Verma, Swati Gupta, Meenu Vijarania, Joseph Bamidele Awotunde, Abdulrauph Olanrewaju Babatunde   +6 more
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An Overview of Image Caption Generation Methods. [PDF]

Comput Intell Neurosci, 2020
Wang H, Zhang Y, Yu X.
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FeeCLAP: Feature-Enhanced Contrastive Language-Audio Pretraining for Descriptive Caption Generation of Chicken Respiratory Sounds

Agriculture
Respiratory diseases in chickens are a major concern in poultry production, as they adversely affect animal health and production efficiency. Chicken vocalizations often contain important acoustic cues associated with respiratory conditions.
Yue Wu, Gan Yang, Yanrong Zhuang, Peng Yin, Feng Qiu, Jin He, Binzhou Li, Jiaxing Liu, Qifeng Li, Ligen Yu   +9 more
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CornCare: A Knowledge-Graph-Enhanced Multimodal Diagnostic Reporting System for Corn Diseases

Agriculture
Accurate and actionable crop disease diagnosis requires not only visual recognition of disease symptoms but also the ability to generate grounded reports that integrate symptom interpretation with agronomic knowledge.
Yang Liu, Yushan Xie, Xue Wu, Qi Wang
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