2 papers
cs.CV2026
DBMF: A Dual-Branch Multimodal Framework for Out-of-Distribution Detection
Jiangbei Yue, Darren Treanor, Venkataraman Subramanian +1
The complex and dynamic real-world clinical environment demands reliable deep learning (DL) systems. Out-of-distribution (OOD) detection plays a critical role in enhancing the reli…
cs.CV2024
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali +7
The integration of deep learning tools in gastrointestinal vision holds the potential for significant advancements in diagnosis, treatment, and overall patient care. A major challe…