#计算机科学#Siamese and triplet networks with online pair/triplet mining in PyTorch
翻译 - PyTorch中具有在线对/三胞胎挖掘的连体和三联体网络
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
翻译 - 微调任何 DNN 以更好地嵌入神经搜索任务
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...
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#Determine whether a given video sequence has been manipulated or synthetically generated
#计算机科学#Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"