3 papers
cs.CV2025
Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection
Geonu Lee, Yujeong Oh, Geonhui Jang +4
In this paper, we introduce a new benchmark for continual learning in anomaly detection, aimed at better reflecting real-world deployment scenarios. Our benchmark, Continual-MEGA,…
cs.CV2024
Semi-Supervised Domain Adaptation for Wildfire Detection
JooYoung Jang, Youngseo Cha, Jisu Kim +5
Recently, both the frequency and intensity of wildfires have increased worldwide, primarily due to climate change. In this paper, we propose a novel protocol for wildfire detection…
cs.CV2021
Robust Pedestrian Attribute Recognition Using Group Sparsity for Occlusion Videos
Geonu Lee, Kimin Yun, Jungchan Cho
Occlusion processing is a key issue in pedestrian attribute recognition (PAR). Nevertheless, several existing video-based PAR methods have not yet considered occlusion handling in…