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Image captioning bridges the gap between vision and language by automatically generating natural language descriptions for images.
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Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Communications of the ACM 60
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2017
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Anderson, P., He, X., Buehler, C., Teney, D., Johnson, M., Gould, S., Zhang, L.: Bottom-up and top-down attention for image captioning and visual question answering. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 6077–6086 (2018)
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2021
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2021
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2021
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Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning transferable visual models from natural language supervision. In: International conference on machine learning. pp. 8748–8763. PMLR (2021)
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Radford, A., Narasimhan, K., Salimans, T., Sutskever, I., et al.: Improving language understanding by generative pre-training (2018)
2018
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Wang, L., Chu, X., Zhang, W., Wei, Y., Sun, W., Wu, C.: Social image captioning: Exploring visual attention and user attention. Sensors 18
2018
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Hossain, M.Z., Sohel, F., Shiratuddin, M.F., Laga, H.: A comprehensive survey of deep learning for image captioning. ACM Computing Surveys (CsUR) 51
2019
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Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al.: Language models are unsupervised multitask learners. OpenAI blog 1
2019
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Shuster, K., Humeau, S., Hu, H., Bordes, A., Weston, J.: Engaging image captioning via personality. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 12516–12526 (2019)
2019
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2019
Cited alongside, same era.
Long, C., Yang, X., Xu, C.: Cross-domain personalized image captioning. Multimedia Tools and Applications 79
2020
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Zhang, W., Ying, Y., Lu, P., Zha, H.: Learning long-and short-term user literal-preference with multimodal hierarchical transformer network for personalized image caption. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 34, pp. 9571–9578 (2020)
2020
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Zhang, P., Li, X., Hu, X., Yang, J., Zhang, L., Wang, L., Choi, Y., Gao, J.: Vinvl: Revisiting visual representations in vision-language models. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5579–5588 (2021)
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Chai, W., Wang, G.: Deep vision multimodal learning: Methodology, benchmark, and trend. Applied Sciences 12
2022
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Stefanini, M., Cornia, M., Baraldi, L., Cascianelli, S., Fiameni, G., Cucchiara, R.: From show to tell: A survey on deep learning-based image captioning. IEEE transactions on pattern analysis and machine intelligence 45
2022
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2022
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2023
Closest in time.
Ramos, R., Martins, B., Elliott, D., Kementchedjhieva, Y.: Smallcap: Lightweight image captioning prompted with retrieval augmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2840–2849 (2023)
2023
Closest in time.