9 citations · 26 across the 13 of their papers we have counts for
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cs.LG2022
Feature Space Particle Inference for Neural Network Ensembles
Shingo Yashima, Teppei Suzuki, Kohta Ishikawa +2
Ensembles of deep neural networks demonstrate improved performance over single models. For enhancing the diversity of ensemble members while keeping their performance, particle-bas…
cs.CV2022★ 3 cited
HCFormer: Unified Image Segmentation with Hierarchical Clustering
Teppei Suzuki
Hierarchical clustering is an effective and efficient approach widely used for classical image segmentation methods. However, many existing methods using neural networks generate s…
cs.CV2022★ 2 cited
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
Teppei Suzuki
Optimization of image transformation functions for the purpose of data augmentation has been intensively studied. In particular, adversarial data augmentation strategies, which sea…