A Multi-Task Learning Approach for Pothole and Crack Classification Using Vision Transformers > Domestic Conference Papers | 한국교통대학교 AMI Lab.

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Algorithmic Machine Intelligence Laboratory.

2025 A Multi-Task Learning Approach for Pothole and Crack Classification Using Vision Transformers

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작성자 최고관리자 작성일 26-04-08 15:25

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Authors: Junhwi Park, Namjung Kim, Xufeng Hu, Changjoon Park, Jaehyun Lee, Jeonghwan Gwak*

Conference: Korea Society of Computer Information

Location / Date: 제주대학교 아라캠퍼스 / July 11

Year: 2025

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이전글CNN and Transformer Encoder Performance Analysis Based on Few-Shot Learning for Road Damage Classification
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