625 citations · 689 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Plant Disease Recognition Datasets in the Age of Deep Learning: Challenges and Opportunities
Mingle Xu, Ji Eun Park, Jaehwan Lee +2
Plant disease recognition has witnessed a significant improvement with deep learning in recent years. Although plant disease datasets are essential and many relevant datasets are p…
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.…