This project is intended to solve the task of massive image retrieval.
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Updated
Feb 9, 2018 - Python
This project is intended to solve the task of massive image retrieval.
The final project of DLCV course (CommE 5052) on NTU
training model using center-loss for face recognition
A PyTorch implementation of center loss on MNIST
keras implementation of A Discriminative Feature Learning Approach for Deep Face Recognition based on MNIST
Deep Face Recognition in PyTorch
Simple Keras implementation of Triplet-Center Loss on the MNIST dataset
This repository contains the ipynb for a project on deep learning visual classification of food categories
Evaluating the effectiveness of using standalone center loss.
人脸识别算法,结合facenet网络结构和center loss作为损失,基于tensorflow框架,含训练和测试代码,支持从头训练和摄像头测试
keras implementation of triplet-loss and triple-center-loss
Face Recognition Project on Pytorch
Similarity Learning applied to Speaker Verification and Semantic Textual Similarity
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
keras implementation of metric-based methods (center-loss, circle-loss, triplets...)
PyTorch implementation of "Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss"
PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
One-shot face identification using deep learning
center loss for face recognition
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