This repository provides source code for conducting extensive experiments and reproducing the most popular Deep Metric Learning approaches.
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Updated
Mar 31, 2021 - Python
This repository provides source code for conducting extensive experiments and reproducing the most popular Deep Metric Learning approaches.
An approach to supervised distance metric learning based on difference of convex functions programming
Efficient C/C++ implementation of Information-Theoretic Metric Learning (ITML)
A visual search engine for Jumia that lets users search for products by uploading an image. It uses computer vision to find similar or identical products within the store's inventory, saving users time and providing a more personalized shopping experience.
Using Pytorch Deep Learning Framework to classify if image is checked-checkbox, unchecked-checkbox, or others with triplet loss
A large-scale offline Chinese handwritten signature dataset
train networks using various loss function with PyTorch(v0.4.0).
Official code for the paper "Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation"
Classification and one-shot learning tasks using a multi-dimensional embedding space created with a Siamese Neural Network trained with triplet loss function
A Metric learning-based Method for Biomedical Entity Linking
DenseCL + regionCL-D
tf-simple-metric-learning を用いてMNISTで距離学習を実施するサンプルです。
26th place solution from 3290 teams held on HackerEarth
Supporting code for the paper "TripletCough: Cougher Identification and Verification from Contact-Free Smartphone-Based Audio Recordings Using Metric Learning"
a task of learning a distance function over data in extracted feature understanding
k-fashion similar recommendations based on metric learning
distance metric learning, tf2 implementation
WEHD - Weighted Euclidean-Hamming Distance for Heterogeneous Feature Vectors
The code for the Gravitational Dimensionality Reduction (GDR) algorithm
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