3 papers
cs.CV2026
Multi-Modal Guided Multi-Source Domain Adaptation for Object Detection
Sangin Lee, Seokjun Kwon, Jeongmin Shin +2
General object detection (OD) struggles to detect objects in the target domain that differ from the training distribution. To address this, recent studies demonstrate that training…
cs.CV2025
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation
Seokjun Kwon, Jeongmin Shin, Namil Kim +2
In autonomous driving, thermal image semantic segmentation has emerged as a critical research area, owing to its ability to provide robust scene understanding under adverse visual…
cs.CV2024
PANDAS: Prototype-based Novel Class Discovery and Detection
Tyler L. Hayes, César R. de Souza, Namil Kim +3
Object detectors are typically trained once and for all on a fixed set of classes. However, this closed-world assumption is unrealistic in practice, as new classes will inevitably…