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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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/32731/ |
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