IEEE

AMVLM: Alignment-Multiplicity Aware Vision-Language Model for Semi-Supervised Medical Image Segmentation

Abstract: Low-quality pseudo labels pose a significant obstacle in semi-supervised medical image segmentation (SSMIS), impeding consistency learning on unlabeled data. Leveraging vision-language model ...
IEEE

Vision-Language Model-Driven Human-Vehicle Interaction for Autonomous Driving: Status, Challenge, and Innovation

Abstract: This paper investigates the potential of Vision-Language Models (VLMs) to enhance Human-Vehicle Interaction (HVI) in Autonomous Driving (AD) scenarios, particularly in interactions between ...
GitHub

RynnVLA-001: A Vision-Language-Action Model Boosted by Generative Priors

RynnVLA-001 is a VLA model based on pretrained video generation model. The key insight is to implicitly transfer manipulation skills learned from human demonstrations in ego-centric videos to the ...
GitHub

CoT4AD: A Vision-Language-Action Model with Chain-of-Thought Reasoning for Autonomous Driving

git clone https://github.com/wzh506/CoT4AD.git cd ./cot conda create -n cot python=3.8 -y conda activate cot pip install torch==2.4.1+cu118 torchvision==0.19.1+cu118 ...