Ring loss: Convex feature normalization for face recognition
We motivate and present Ring loss, a simple and elegant feature normalization approach for
deep networks designed to augment standard loss functions such as Softmax. We argue that …
deep networks designed to augment standard loss functions such as Softmax. We argue that …
[引用][C] Ring Loss: Convex Feature Normalization for Face Recognition
Y Zheng, DK Pal, M Savvides - 2018 IEEE/CVF Conference on …, 2018 - cir.nii.ac.jp
Ring Loss: Convex Feature Normalization for Face Recognition | CiNii Research CiNii 国立
情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす …
情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす …
Ring loss: Convex Feature Normalization for Face Recognition
Y Zheng, DK Pal, M Savvides - arXiv preprint arXiv:1803.00130, 2018 - arxiv.org
We motivate and present Ring loss, a simple and elegant feature normalization approach for
deep networks designed to augment standard loss functions such as Softmax. We argue that …
deep networks designed to augment standard loss functions such as Softmax. We argue that …
[PDF][PDF] Ring loss: Convex Feature Normalization for Face Recognition
Y Zheng, DK Pal, M Savvides - scholar.archive.org
We motivate and present Ring loss, a simple and elegant feature normalization approach for
deep networks designed to augment standard loss functions such as Softmax. We argue that …
deep networks designed to augment standard loss functions such as Softmax. We argue that …
[PDF][PDF] Ring loss: Convex Feature Normalization for Face Recognition
Y Zheng, DK Pal, M Savvides - openaccess.thecvf.com
We motivate and present Ring loss, a simple and elegant feature normalization approach for
deep networks designed to augment standard loss functions such as Softmax. We argue that …
deep networks designed to augment standard loss functions such as Softmax. We argue that …
Ring Loss: Convex Feature Normalization for Face Recognition
Y Zheng, DK Pal, M Savvides - 2018 IEEE/CVF Conference on …, 2018 - ieeexplore.ieee.org
We motivate and present Ring loss, a simple and elegant feature normalization approach for
deep networks designed to augment standard loss functions such as Softmax. We argue that …
deep networks designed to augment standard loss functions such as Softmax. We argue that …
Ring loss: Convex Feature Normalization for Face Recognition
Y Zheng, DK Pal, M Savvides - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
We motivate and present Ring loss, a simple and elegant feature normalization approach for
deep networks designed to augment standard loss functions such as Softmax. We argue that …
deep networks designed to augment standard loss functions such as Softmax. We argue that …
Ring Loss: Convex Feature Normalization for Face Recognition
Y Zheng, DK Pal, M Savvides - 2018 IEEE/CVF Conference on …, 2018 - computer.org
We motivate and present Ring loss, a simple and elegant feature normalization approach for
deep networks designed to augment standard loss functions such as Softmax. We argue that …
deep networks designed to augment standard loss functions such as Softmax. We argue that …