625 citations · 681 across the 6 of their papers we have counts for
6 papers
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…
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…
Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep Learning
Mingle Xu, Hyongsuk Kim, Jucheng Yang +5
Recent advancements in deep learning have brought significant improvements to plant disease recognition. However, achieving satisfactory performance often requires high-quality tra…
Variation-Aware Semantic Image Synthesis
Mingle Xu, Jaehwan Lee, Sook Yoon +2
Semantic image synthesis (SIS) aims to produce photorealistic images aligning to given conditional semantic layout and has witnessed a significant improvement in recent years. Alth…
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
Mingle Xu, Sook Yoon, Alvaro Fuentes +1
Deep learning has been achieving decent performance in computer vision requiring a large volume of images, however, collecting images is expensive and difficult in many scenarios.…
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…