ACORT: A compact object relation transformer for parameter efficient image captioning

Recent research that applies Transformer-based architectures to image captioning has resulted in stateof-the-art image captioning performance, capitalising on the success of Transformers on natural language tasks. Unfortunately, though these models work well, one major flaw is their large model size...

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Bibliographic Details
Main Authors: Tan, Jia Huei, Tan, Ying Hua, Chan, Chee Seng, Chuah, Joon Huang
Format: Article
Published: Elsevier 2022
Subjects:
Online Access:http://eprints.um.edu.my/32731/
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