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cs.CV2024
Adaptive Label Smoothing for Out-of-Distribution Detection
Mingle Xu, Jaehwan Lee, Sook Yoon +1
Out-of-distribution (OOD) detection, which aims to distinguish unknown classes from known classes, has received increasing attention recently. A main challenge within is the unavai…
cs.CV2023
Towards Few-shot Out-of-Distribution Detection
Jiuqing Dong, Yongbin Gao, Heng Zhou +4
Out-of-distribution (OOD) detection is critical for ensuring the reliability of open-world intelligent systems. Despite the notable advancements in existing OOD detection methodolo…
cs.CV2019★ 1 cited
Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition
Haseeb Nazki, Sook Yoon, Alvaro Fuentes +1
Acquisition of data in task-specific applications of machine learning like plant disease recognition is a costly endeavor owing to the requirements of professional human diligence…