CaMEL: Mean Teacher Learning for Image Captioning
Author:
Affiliation:
1. University of Modena and Reggio Emilia
Funder
Ministry of Foreign Affairs
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9956007/9955631/09955644.pdf?arnumber=9955644
Reference62 articles.
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2. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale;dosovitskiy;Proceedings of the International Conference on Learning Representations,2021
3. Neural Baby Talk
4. Image Captioning with Semantic Attention
5. Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning
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