2 papers
cs.CV2024
From Text to Pixel: Advancing Long-Context Understanding in MLLMs
Yujie Lu, Xiujun Li, Tsu-Jui Fu +2
The rapid progress in Multimodal Large Language Models (MLLMs) has significantly advanced their ability to process and understand complex visual and textual information. However, t…
cs.CV2024
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Haotian Zhang, Haoxuan You, Philipp Dufter +8
While Ferret seamlessly integrates regional understanding into the Large Language Model (LLM) to facilitate its referring and grounding capability, it poses certain limitations: co…