7 citations · 15 across the 18 of their papers we have counts for
8 papers · 1 filter
WSPolypNet: Weakly Supervised Polyp Localization in Colonoscopy Videos
Giseong Hwang, Minjae Jo, Yeonghyeon Park +9
Because dense frame-level annotation of colonoscopy videos is costly, we propose WSPolypNet, a weakly supervised framework for polyp localization using only video-level labels. WSP…
Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection
YeongHyeon Park, Myung Jin Kim, Hyeong Seok Kim
A pre-trained visual-language model, contrastive language-image pre-training (CLIP), successfully accomplishes various downstream tasks with text prompts, such as finding images or…
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy
YeongHyeon Park, Sungho Kang, Myung Jin Kim +3
Due to scarcity of anomaly situations in the early manufacturing stage, an unsupervised anomaly detection (UAD) approach is widely adopted which only uses normal samples for traini…
Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification
YeongHyeon Park, Sungho Kang, Myung Jin Kim +4
Unsupervised anomaly detection (UAD) is a widely adopted approach in industry due to rare anomaly occurrences and data imbalance. A desirable characteristic of an UAD model is cont…
Latent Vector Expansion using Autoencoder for Anomaly Detection
UJu Gim, YeongHyeon Park
Deep learning methods can classify various unstructured data such as images, language, and voice as input data. As the task of classifying anomalies becomes more important in the r…
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection
YeongHyeon Park, JongHee Jung
Wet weather makes water film over the road and that film causes lower friction between tire and road surface. When a vehicle passes the low-friction road, the accident can occur up…
Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability
YeongHyeon Park, JoonSung Lee, Wonseok Park
Image classification technology and performance based on Deep Learning have already achieved high standards. Nevertheless, many efforts have conducted to improve the stability of c…
Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise
YeongHyeon Park, JongHee Jung
Road accident can be triggered by wet road because it decreases skid resistance. To prevent the road accident, detecting road surface abnomality is highly useful. In this paper, we…