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
center loss for face recognition
Deep Face Recognition in PyTorch
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
Open Set Recognition
Deep Attentive Center Loss
This project is intended to solve the task of massive image retrieval.
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)
Simple Keras implementation of Triplet-Center Loss on the MNIST dataset
Face Recognition Project on Pytorch
PyTorch Implementation for the paper "C3VQG: Category Consistent Cyclic Visual Question Generation" (ACM MM Asia'20).
PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
This is an implementation of the Center Loss article (2016).
Similarity Learning applied to Speaker Verification and Semantic Textual Similarity
Official companion repository for the paper "A Metric Learning Approach to Misogyny Categorization" at the 5th Workshop on Representation Learning for NLP, ACL 2020
Evaluating the effectiveness of using standalone center loss.
training model using center-loss for face recognition
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