Dml cross entropyCode for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
Stars: ✭ 117 (+515.79%)
Open UcnThe first fully convolutional metric learning for geometric/semantic image correspondences.
Stars: ✭ 60 (+215.79%)
visual-compatibilityContext-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)
Stars: ✭ 92 (+384.21%)
Pytorch Image RetrievalA PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).
Stars: ✭ 203 (+968.42%)
HardnetHardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Stars: ✭ 350 (+1742.11%)
tf retrieval baselineA Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
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PointglrGlobal-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
Stars: ✭ 86 (+352.63%)
lfdaLocal Fisher Discriminant Analysis in R
Stars: ✭ 74 (+289.47%)
Additive Margin SoftmaxThis is the implementation of paper <Additive Margin Softmax for Face Verification>
Stars: ✭ 464 (+2342.11%)
CatalystAccelerated deep learning R&D
Stars: ✭ 2,804 (+14657.89%)
Powerful BenchmarkerA PyTorch library for benchmarking deep metric learning. It's powerful.
Stars: ✭ 272 (+1331.58%)
TreeRepLearning Tree structures and Tree metrics
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LearningToCompare-TensorflowTensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.
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Negative Margin.few ShotPyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
Stars: ✭ 101 (+431.58%)
triplet-loss-pytorchHighly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
Stars: ✭ 79 (+315.79%)
Open ReidOpen source person re-identification library in python
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MinkLoc3DMinkLoc3D: Point Cloud Based Large-Scale Place Recognition
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Prototypical NetworksCode for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Stars: ✭ 705 (+3610.53%)
proxy-synthesisOfficial PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)
Stars: ✭ 30 (+57.89%)
Batch Dropblock NetworkOfficial source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
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Npair loss pytorchImproved Deep Metric Learning with Multi-class N-pair Loss Objective
Stars: ✭ 75 (+294.74%)
RkdOfficial pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
Stars: ✭ 257 (+1252.63%)
Magnetloss PytorchPyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
Stars: ✭ 217 (+1042.11%)
scLearnscLearn:Learning for single cell assignment
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Revisiting deep metric learning pytorch(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
Stars: ✭ 172 (+805.26%)
S-WMDCode for Supervised Word Mover's Distance (SWMD)
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SegsortSegSort: Segmentation by Discriminative Sorting of Segments
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ePillID-benchmarkePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)
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DeclutrThe corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
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CVPR2020 PADS(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.
Stars: ✭ 57 (+200%)
PvsePolysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)
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MvgcnMulti-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
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GPQGeneralized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
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Metric LearnMetric learning algorithms in Python
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Hcn Prototypeloss PytorchHierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)
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simple-cnapsSource codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)
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MHCLNDeep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
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AmsoftmaxA simple yet effective loss function for face verification.
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MinkLocMultimodalMinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
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SPMLUniversal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
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Voxceleb trainerIn defence of metric learning for speaker recognition
Stars: ✭ 316 (+1563.16%)
SPL-ADVisEPyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
Stars: ✭ 20 (+5.26%)
Pytorch Metric LearningThe easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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GeDMLGeneralized Deep Metric Learning.
Stars: ✭ 30 (+57.89%)
finetunerFinetuning any DNN for better embedding on neural search tasks
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dmlR package for Distance Metric Learning
Stars: ✭ 58 (+205.26%)
TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Stars: ✭ 51 (+168.42%)