4 papers
Environmental Change Detection for Real-World Change Analysis
Kyusik Cho, Suhan Woo, Hongje Seong +1
Scene Change Detection (SCD) evaluates changes using predefined query-reference (i.e., present-past) image pairs. However, this formulation overlooks a critical dependency: the cor…
ALC: Active and Automated Label Correction for Semantic Segmentation
Youjin Jeon, Kyusik Cho, Suhan Woo +1
Active Label Correction (ALC) has emerged as a promising solution to the high cost and error-prone nature of manual pixel-wise annotation in semantic segmentation, by actively iden…
Zero-Shot Scene Change Detection
Kyusik Cho, Dong Yeop Kim, Euntai Kim
We present a novel, training-free approach to scene change detection. Our method leverages tracking models, which inherently perform change detection between consecutive frames of…
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing
Kyusik Cho, Suhyeon Lee, Hongje Seong +1
The network trained for domain adaptation is prone to bias toward the easy-to-transfer classes. Since the ground truth label on the target domain is unavailable during training, th…