Deep Learning / triplet

Deep metric learning using Triplet network

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Using SigComp'11 dataset for signature verification

Replication of 'Deep metric Learning Using Triplet Network'

Keras implementation of "Deep Learning using Triplet Network" by Hoffer and Ailon. https://arxiv.org/pdf/1412.6622.pdf

Face recognition using deep learning (Python ,keras , tensorflow)

Deep metric learning: Triplet, Magnet and VMF loss

Deep metric learning for CBIR, based on triplet-reid

A tensorflow2.0 implementation of triplet loss with online hard mining strategy

Tensorflow implementation of SoftTriple Loss: Deep Metric Learning Without Triplet Sampling