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triplet-loss

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adambielski /siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

machine-learning deep-learning pytorch embedding triplet-loss siamese-network contrastive-loss triplet-network learning-embeddings

UpdatedApr 29, 2023
Python

CoinCheung /pytorch-loss

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

cuda pytorch ema triplet-loss label-smoothing focal-loss amsoftmax dice-loss mish lovasz-softmax partial-fc

UpdatedOct 17, 2024
Python

finetuner

jina-ai /finetuner

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

metric-learning transfer-learning pretrained-models bert triplet-loss siamese-network fine-tuning finetuning few-shot-learning negative-sampling similarity-learning neural-search jina openai-clip

UpdatedMar 11, 2024
Python

omoindrot /tensorflow-triplet-loss

Implementation of triplet loss in TensorFlow

tensorflow embeddings triplet-loss online-triplet-mining

UpdatedMay 9, 2019
Python

soubhiksanyal /RingNet

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

python computer-vision deep-learning tensorflow face flame 3d-models face-reconstruction triplet-loss 3d-data 2d-3d 3d-mesh benchmark-datasets 3d-face-reconstruction morphable-model 3d-landmarks flame-model single-image-reconstruction ringnet

UpdatedMar 24, 2023
Python

White-Link /UnsupervisedScalableRepresentationLearningTimeSeries

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

machine-learning deep-learning time-series pytorch neural-networks triplet-loss time-series-classification neurips-2019 ucr-archive uea-archive

UpdatedJul 31, 2024
Jupyter Notebook

Walleclipse /Deep_Speaker-speaker_recognition_system

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

keras speech speaker-recognition triplet-loss speaker-embedding

UpdatedApr 27, 2020
Python

tamerthamoqa /facenet-pytorch-glint360k

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.

pytorch face-recognition facenet multi-gpu triplet-loss lfw-dataset pretrained-model vggface2-dataset

UpdatedSep 16, 2021
Python

layumi /Person-reID-triplet-loss

Person re-ID baseline with triplet loss

cnn pytorch image-retrieval triplet-loss open-reid personreid

UpdatedFeb 19, 2025
Python

michuanhaohao /keras_reid

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

UpdatedJan 12, 2019
Python

Speaker-Identification /You-Only-Speak-Once

Deep Learning - one shot learning for speaker recognition using Filter Banks

audio deep-learning neural-network speech one-shot-learning speaker-recognition triplet-loss deep-speaker speaker-identification voice-authentication siamese-networks

UpdatedJun 23, 2024
Jupyter Notebook

lonePatient /TorchBlocks

A PyTorch-based toolkit for natural language processing

nlp text-classification text-similarity transformers pytorch named-entity-recognition advertising bert triplet-loss multilabel-classification siamese-network relation-classification

UpdatedMar 10, 2023
Python

chencodeX /triplet-loss-pytorch

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

pytorch dataloader triplet-loss fine-grained-classification

UpdatedAug 6, 2020
Python

SamYuen101234 /Masked_Face_Recognition

2020/2021 HKUST CSE FYP Masked Facial Recognition, developer: Sam Yuen, Alex Xie, Tony Cheng

machine-learning computer-vision cnn pytorch artificial-intelligence facial-recognition hkust face-alignment triplet-loss mtcnn arcface online-triplet-mining inceptionresnet efficientnet masked-face-recognition se-resnext triplet-mining-sampler transfer-learining

UpdatedMay 29, 2023
Python

alfonmedela /triplet-loss-pytorch

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

pytorch constellation metric-learning loss-functions triplet-loss triplet pytorch-implementation

UpdatedJul 11, 2022
Python

soubhiksanyal /now_evaluation

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 face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.

python computer-vision python3 face flame 3d-reconstruction face-reconstruction face-alignment triplet-loss 3d-data 3d-face-alignment 2d-3d 3d-mesh benchmark-datasets 3d-landmarks flame-model single-image-reconstruction now-evaluation face-reconstruction-challenge

UpdatedFeb 23, 2025
Python

leftthomas /CGD

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

cnn pytorch image-retrieval triplet-loss

UpdatedJun 16, 2022
Python

sanku-lib /image_triplet_loss

Image similarity using Triplet Loss

machine-learning deep-learning tensorflow image-processing triplet-loss siamese-network image-similarity cnn-tensorflow

UpdatedMar 24, 2023
Jupyter Notebook

chinmaynehate /DFSpot-Deepfake-Recognition

Determine whether a given video sequence has been manipulated or synthetically generated

deep-neural-networks deep-learning pytorch ensemble-learning transfer-learning fake-news triplet-loss siamese-network deepfakes efficientnet faceforensics deepfakes-classification deepfake-detection-challenge vision-transformers

UpdatedOct 21, 2022
Python

PkuRainBow /HDC.caffe

Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"

image deep-learning retrieval embeddings triplet-loss

UpdatedAug 6, 2017
Python

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