Code of A Neural Compositional Paradigm for Image Captioning
Borrowed some code from AdaptiveAttention.
Overview
Summarization
- We propose a compositional captioning model, where caption generation follows a recursive structure, which naturally fits the properties of human language. Specifically, we could generate diverse captions based on the same visual semantics by changing syntax, or attentions.
Codes
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nlp: scripts for processing sentences using a nlp toolkit
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data: scripts for processing data
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misc: models, dataloaders, and auxiliary codes
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image_models: pretrained image models
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test: scripts for studies
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scripts: bashs
Citation
@inproceedings{dai2018aneural,
title = {A Neural Compositional Paradigm for Image Captioning},
author = {Dai, Bo and Fidler, Sanja and Lin, Dahua},
booktitle = {Advances in Neural Information Processing Systems 31},
pages = {658--668},
year = {2018}
}