3 papers
cs.CV2026
TED:Text-Axis Evidence Decomposition for Prompted Anomaly Localization
JinYoung Kim, Geonho Kim, GiJeong Park +2
CLIP is a powerful vision-language model, but it was not designed for fine-grained defect localization; CLIP-based anomaly detectors therefore adapt it with prompts or lightweight…
cs.CV2025
CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning
Jeonghyo Song, Kimin Yun, DaeUng Jo +2
Effective Out-of-Distribution (OOD) detection is criti-cal for ensuring the reliability of semantic segmentation models, particularly in complex road environments where safety and…
cs.CV2025
Distributional Uncertainty for Out-of-Distribution Detection
JinYoung Kim, DaeUng Jo, Kimin Yun +2
Estimating uncertainty from deep neural networks is a widely used approach for detecting out-of-distribution (OoD) samples, which typically exhibit high predictive uncertainty. How…