Image Captioning in the Wild
Author:
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
Link
https://dl.acm.org/doi/pdf/10.1145/3132515.3132522
Reference20 articles.
1. Damian Borth Christian Schulze Adrian Ulges and Thomas M Breuel. 2008. Navidgator-similarity based browsing for image and video databases Annual Conference on Artificial Intelligence. Springer 22--29. 10.1007/978-3-540-85845-4_3 Damian Borth Christian Schulze Adrian Ulges and Thomas M Breuel. 2008. Navidgator-similarity based browsing for image and video databases Annual Conference on Artificial Intelligence. Springer 22--29. 10.1007/978-3-540-85845-4_3
2. Damian Borth Adrian Ulges and Thomas M. Breuel. 2010. Relevance filtering meets active learning: improving web-based concept detectors Proceedings of the international conference on Multimedia information retrieval. ACM 25--34. 10.1145/1743384.1743397 Damian Borth Adrian Ulges and Thomas M. Breuel. 2010. Relevance filtering meets active learning: improving web-based concept detectors Proceedings of the international conference on Multimedia information retrieval. ACM 25--34. 10.1145/1743384.1743397
3. From captions to visual concepts and back
4. H. Paul Grice. 1975. Logic and Conversation. Speech acts Peter Cole (Ed.). Syntax and semantics Vol. Vol. 3. Academic Press New York 41--58. H. Paul Grice. 1975. Logic and Conversation. Speech acts Peter Cole (Ed.). Syntax and semantics Vol. Vol. 3. Academic Press New York 41--58.
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