all AI news
[CVPR'24] LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
April 4, 2024, 3:33 a.m. | /u/kb_kim
machinelearningnews www.reddit.com
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
More from www.reddit.com / machinelearningnews
Jobs in AI, ML, Big Data
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Data Engineer - Takealot Group (Takealot.com | Superbalist.com | Mr D Food)
@ takealot.com | Cape Town