Long-Tailed Defects Classification Based on Probabilistic Aggregation Network for Light-Emitting Diode Packaging Process
J Chen, H Yin, Y Qin, W Jiang - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
Classifying different types of defects in light-emitting diode (LED) packaging poses a
challenging and complex task. The difficulty in collecting diverse defect types presents a …
challenging and complex task. The difficulty in collecting diverse defect types presents a …
[HTML][HTML] A machine learning enhanced approach for automated sunquake detection in acoustic emission maps
Sunquakes are seismic emissions visible on the solar surface, associated with some solar
flares. Although discovered in 1998, they have only recently become a more commonly …
flares. Although discovered in 1998, they have only recently become a more commonly …
All-around Neural Collapse for Imbalanced Classification
E Zhang, C Li, C Geng, S Chen - arXiv preprint arXiv:2408.07253, 2024 - arxiv.org
Neural Collapse (NC) presents an elegant geometric structure that enables individual
activations (features), class means and classifier (weights) vectors to reach\textit {optimal} …
activations (features), class means and classifier (weights) vectors to reach\textit {optimal} …
[HTML][HTML] Alleviating Long-Tailed Image Classification via Dynamical Classwise Splitting
With the rapid increase in data scale, real-world datasets tend to exhibit long-tailed class
distributions (ie, a few classes account for most of the data, while most classes contain only …
distributions (ie, a few classes account for most of the data, while most classes contain only …