Image Captioning in the Wild

Author:

Blandfort Philipp1,Karayil Tushar2,Borth Damian2,Dengel Andreas1

Affiliation:

1. German Institute for Artificial Intelligence & University of Kaiserslautern, Kaiserslautern, Germany

2. German Institute for Artificial Intelligence, Kaiserslautern, Germany

Funder

Bundesministerium für Bildung und Forschung

nvidia

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Image Caption Generator using Deep Learning;International Journal of Advanced Research in Science, Communication and Technology;2024-04-29

2. A Review of Multi-Modal Learning from the Text-Guided Visual Processing Viewpoint;Sensors;2022-09-08

3. Adversarial text-to-image synthesis: A review;Neural Networks;2021-12

4. Augmented Human and Human-Machine Co-evolution: Efficiency and Ethics;Reflections on Artificial Intelligence for Humanity;2021

5. Conditional GANs for Image Captioning with Sentiments;Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series;2019

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