Comparative Analysis of Pothole Anomaly Detection Performance Using CNN and Transformer Based Feature Extractors in MSFlow > Domestic Conference Papers | 한국교통대학교 AMI Lab.

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Algorithmic Machine Intelligence Laboratory.

2025 Comparative Analysis of Pothole Anomaly Detection Performance Using CNN and Transformer Based Feature Extractors in MSFlow

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작성자 최고관리자 작성일 26-04-08 15:30

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

Conference: Korean Institute of Next Generation Computing

Location / Date: 호서대학교 아산캠퍼스 / May 8

Year: 2025

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이전글Performance Analysis of Partial Discharge Classification using MSFlow-Based Normalizing Flow Model
다음글CNN and Transformer Encoder Performance Analysis Based on Few-Shot Learning for Road Damage Classification