triplet-loss

#计算机科学#Siamese and triplet networks with online pair/triplet mining in PyTorch

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

🎯 Task-oriented embedding tuning for BERT, CLIP, etc.

Implementation of triplet loss in TensorFlow

#计算机科学#Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

#计算机科学#Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)

#人脸识别#A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.

Person re-ID baseline with triplet loss

Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification

#计算机科学#Deep Learning - one shot learning for speaker recognition using Filter Banks

#自然语言处理#A PyTorch-based toolkit for natural language processing

A generic triplet data loader for image classification problems,and a triplet loss net demo.

#计算机科学#2020/2021 HKUST CSE FYP Masked Facial Recognition, developer: Sam Yuen, Alex Xie, Tony Cheng

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D fac...

#计算机科学#CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust representations of time series data.

A PyTorch implementation of CGD based on the paper "Combination of Multiple Global Descriptors for Image Retrieval"

#计算机科学#Image similarity using Triplet Loss

#计算机科学#Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"