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cs.CV2026
Rethinking Prototype-based Similarity Learning for Few-Shot Object Detection
KunHo Heo, Seungjae Kim, Wongyu Lee +2
Few-shot object detection aims to detect novel object categories from only a few labeled examples, avoiding costly large-scale annotation. Recent prototype-based similarity learnin…
cs.CV2026
A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection
SuYeon Kim, Wongyu Lee, MyeongAh Cho
3D anomaly detection targets the detection and localization of defects in 3D point clouds trained solely on normal data. While a unified model improves scalability by learning acro…