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

Dong-JinKim/DenseRelationalCaptioning CVPR 2019

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

Dong-JinKim/DenseRelationalCaptioning 8 Oct 2020

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.