50 citations · 59 across the 4 of their papers we have counts for
4 papers
On-Demand Scenario Generation for Testing Automated Driving Systems
Songyang Yan, Xiaodong Zhang, Kunkun Hao +7
The safety and reliability of Automated Driving Systems (ADS) are paramount, necessitating rigorous testing methodologies to uncover potential failures before deployment. Tradition…
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…
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification
Yuan Wang, Huiling Song, Peng Huo +4
Extreme multi-label text classification (XMTC) refers to the problem of tagging a given text with the most relevant subset of labels from a large label set. A majority of labels on…