Pytorch implementation of Center Loss
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Updated
Feb 19, 2023 - Python
Pytorch implementation of Center Loss
A PyTorch implementation of center loss on MNIST
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
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
center loss for face recognition
Open Set Recognition
Deep Face Recognition in PyTorch
Simple Keras implementation of Triplet-Center Loss on the MNIST dataset
Deep Attentive Center Loss
Face Recognition Project on Pytorch
This project is intended to solve the task of massive image retrieval.
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)
This is an implementation of the Center Loss article (2016).
Similarity Learning applied to Speaker Verification and Semantic Textual Similarity
PyTorch Implementation for the paper "C3VQG: Category Consistent Cyclic Visual Question Generation" (ACM MM Asia'20).
training model using center-loss for face recognition
PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
One-shot face identification using deep learning
Based on https://github.com/Arsey/keras-transfer-learning-for-oxford102, but more things are done in the project. Especially for the triplet and center loss.
keras implementation of metric-based methods (center-loss, circle-loss, triplets...)
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