ملف الباحث
Brian K. S. Isaac-Medina
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
-
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
2024 · arXiv (Cornell University)
Object detection is a pivotal task in computer vision that has received significant attention in previous years. Nonetheless, the capability of a detector to localise objects out of the training distribution remains unexplored. Whilst recent …