4 papers · 1 filter
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition
Yaozong Gan, Guang Li, Ren Togo +3
Recent multimodal large language models (MLLM) such as GPT-4o and GPT-4v have shown great potential in autonomous driving. In this paper, we propose a cross-domain few-shot in-cont…
Reinforcing Pre-trained Models Using Counterfactual Images
Xiang Li, Ren Togo, Keisuke Maeda +2
This paper proposes a novel framework to reinforce classification models using language-guided generated counterfactual images. Deep learning classification models are often traine…
Generative Dataset Distillation: Balancing Global Structure and Local Details
Longzhen Li, Guang Li, Ren Togo +3
In this paper, we propose a new dataset distillation method that considers balancing global structure and local details when distilling the information from a large dataset into a…
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach
Taro Togo, Ren Togo, Keisuke Maeda +2
This study presents a novel approach to Generative Class Incremental Learning (GCIL) by introducing the forgetting mechanism, aimed at dynamically managing class information for be…