https://github.com/cvqluu/Angular-Penalty-Softmax-Losses-Pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
https://github.com/cvqluu/Angular-Penalty-Softmax-Losses-Pytorch

am-softmax arcface embedding face-recognition face-verification fashion-mnist fmnist-dataset loss-function loss-functions metric-learning normface pytorch speaker-recognition sphereface

Last synced: 2 months ago
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Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

• Host: GitHub
• URL: https://github.com/cvqluu/Angular-Penalty-Softmax-Losses-Pytorch
• Owner: cvqluu
• License: mit
• Created: 2019-06-13T17:09:43.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-12-13T07:00:32.000Z (6 months ago)
• Last Synced: 2024-01-08T11:24:59.344Z (6 months ago)
• Topics: am-softmax, arcface, embedding, face-recognition, face-verification, fashion-mnist, fmnist-dataset, loss-function, loss-functions, metric-learning, normface, pytorch, speaker-recognition, sphereface
• Language: Python
• Homepage:
• Size: 9.35 MB
• Stars: 471
• Watchers: 12
• Forks: 91
• Open Issues: 15

Lists

• awesome-stars - cvqluu/Angular-Penalty-Softmax-Losses-Pytorch - Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace) (Python)
• awesome-stars - cvqluu/Angular-Penalty-Softmax-Losses-Pytorch - Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace) (Python)