Relational Captioning
2 papers with code • 1 benchmarks • 0 datasets
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Most implemented papers
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
Our goal in this work is to train an image captioning model that generates more dense and informative captions.
Dense Relational Image Captioning via Multi-task Triple-Stream Networks
To this end, we propose the multi-task triple-stream network (MTTSNet) which consists of three recurrent units responsible for each POS which is trained by jointly predicting the correct captions and POS for each word.