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https://github.com/tokusumi/metric_learning_keras

keras metric-learning

Last synced: about 1 month ago
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Host: GitHub
URL: https://github.com/tokusumi/metric_learning_keras
Owner: tokusumi
Created: 2019-08-22T23:56:23.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2020-02-17T16:07:44.000Z (almost 5 years ago)
Last Synced: 2024-10-16T10:41:47.899Z (3 months ago)
Topics: keras, metric-learning
Language: Jupyter Notebook
Size: 43 KB
Stars: 3
Watchers: 1
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# Siamese Network with L2softmaxloss
Implemented with Keras

## Overview
This repository includes a comparison between L2-softmaxloss vs softmaxloss for metric learning.
I constructed Siamese network to calculate pointwise similarity between two images.

See [notebook](https://github.com/tokusumi/metric_learning_keras/blob/master/metric_learning_keras/L2SoftmaxLoss/notebooks/compare_L2SoftmaxLoss.ipynb)

## Dataset
MNIST handwritten digit image dataset: http://yann.lecun.com/exdb/mnist/

## Results
![PR curve](https://github.com/tokusumi/metric_learning_keras/blob/master/metric_learning_keras/L2SoftmaxLoss/notebooks/PR_curve_l2.png)

## Refs

### L2-SoftmaxLoss (L2-constrained Softmax Loss)

> Y. Wen, K. Zhang, Z. Li, and Y. Qiao. A discrimina- tive feature learning approach for deep face recognition. In European Conference on Computer Vision, pages 499–515. Springer, 2016.