https://github.com/ahmdtaha/softmax_triplet_loss

(WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer
https://github.com/ahmdtaha/softmax_triplet_loss

classification classification-performance feature-embedding fgvc-aircraft-dataset resnet softmax tensorflow triplet-loss

Last synced: 2 months ago
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(WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer

• Host: GitHub
• URL: https://github.com/ahmdtaha/softmax_triplet_loss
• Owner: ahmdtaha
• License: apache-2.0
• Created: 2019-08-28T01:10:59.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-10-09T23:19:30.000Z (over 3 years ago)
• Last Synced: 2023-03-02T21:27:29.805Z (almost 2 years ago)
• Topics: classification, classification-performance, feature-embedding, fgvc-aircraft-dataset, resnet, softmax, tensorflow, triplet-loss
• Language: Python
• Homepage:
• Size: 357 KB
• Stars: 21
• Watchers: 4
• Forks: 2
• Open Issues: 0

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