Search Results for author:
Found 4 papers, 4 papers with code
Dense Connector for MLLMs
We witness the rise of larger and higher-quality instruction datasets, as well as the involvement of larger-sized LLMs.
Automated Multi-level Preference for MLLMs
To verify our viewpoint, we present the Automated Multi-level Preference (AMP) framework for MLLMs.
Side4Video: Spatial-Temporal Side Network for Memory-Efficient Image-to-Video Transfer Learning
In this paper, we present a novel Spatial-Temporal Side Network for memory-efficient fine-tuning large image models to video understanding, named Side4Video.
Ranked #3 on
Action Recognition
on Something-Something V1
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
Our study centers on the evaluation of GPT-4's linguistic and visual capabilities in zero-shot visual recognition tasks: Firstly, we explore the potential of its generated rich textual descriptions across various categories to enhance recognition performance without any training.
