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cs.CV2026
Knowing the Unknown: Interpretable Open-World Object Detection via Concept Decomposition Model
Xueqiang Lv, Shizhou Zhang, Yinghui Xing +3
Open-world object detection (OWOD) requires incrementally detecting known categories while reliably identifying unknown objects. Existing methods primarily focus on improving unkno…
cs.CV2025
Quaternion Approximation Networks for Enhanced Image Classification and Oriented Object Detection
Bryce Grant, Peng Wang
This paper introduces Quaternion Approximate Networks (QUAN), a novel deep learning framework that leverages quaternion algebra for rotation equivariant image classification and ob…
cs.CV2023★ 1 cited
SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects
Peng Wang, Haiming Yao, Wenyong Yu
The unsupervised visual inspection of defects in industrial products poses a significant challenge due to substantial variations in product surfaces. Current unsupervised models st…