More and more large multimodal models (LMMs) are being released from time to time, but the finetuning of these models is not always straightforward. This codebase aims to provide a unified, minimal ...
Abstract: The outstanding performance of Large Multimodal Models (LMMs) has made them widely applied in vision-related tasks. However, various corruptions in the real world mean that images will not ...
Abstract: Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems. The goal of this article is to provide a comprehensive tutorial of three major ...
Why are LMMs excellent in benchmarks but limited in the real-world?** Robustness is a crucial factor. In experiments, LMMs usually receive high-quality images, but in real-world scenarios that ...
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