19 citations · 25 across the 4 of their papers we have counts for
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cs.CV2024★ 1 cited
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution
Hojung Lee, Jong-Seok Lee
Recent advancements in low-cost ensemble learning have demonstrated improved efficiency for image classification. However, the existing low-cost ensemble methods show relatively lo…
cs.CV2024
Network Fission Ensembles for Low-Cost Self-Ensembles
Hojung Lee, Jong-Seok Lee
Recent ensemble learning methods for image classification have been shown to improve classification accuracy with low extra cost. However, they still require multiple trained model…
cs.CV2021★ 5 cited
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits
Hojung Lee, Jong-Seok Lee
This paper proposes a novel knowledge distillation-based learning method to improve the classification performance of convolutional neural networks (CNNs) without a pre-trained tea…