April 4, 2024, 3:33 a.m. | /u/kb_kim

machinelearningnews www.reddit.com

It is the first work to leverage a **Large Langage Model** on Scene Graph Generation task.
Incredibly, we achieve comparable performance to a fully supervised approach in terms of F@K, even when we only use **image captions** in Scene Graph Generation task.
For more details, refer to

paper: [https://arxiv.org/pdf/2310.10404.pdf](https://arxiv.org/pdf/2310.10404.pdf)

code: [https://github.com/rlqja1107/torch-LLM4SGG](https://github.com/rlqja1107/torch-LLM4SGG)


[Overall Framework](https://preview.redd.it/5fmqbz9dsdsc1.png?width=1065&format=png&auto=webp&s=6a72e722b589fccfad01e8152fd9c604a1587931)

[Performance Comparison](https://preview.redd.it/0vv7ll85tdsc1.png?width=1241&format=png&auto=webp&s=9b15139b629f5181f0c0e4623ee1fa3f0b8e1113)

captions cvpr graph image language language models large language large language models machinelearningnews performance terms work

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