7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
Dense Connector for MLLMs
Huanjin Yao, Wenhao Wu, Taojiannan Yang +7
Do we fully leverage the potential of visual encoder in Multimodal Large Language Models (MLLMs)? The recent outstanding performance of MLLMs in multimodal understanding has garner…
cs.LG2024★ 7 cited
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
Zhiqiang Tang, Haoyang Fang, Su Zhou +5
AutoGluon-Multimodal (AutoMM) is introduced as an open-source AutoML library designed specifically for multimodal learning. Distinguished by its exceptional ease of use, AutoMM ena…