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Deep Metric Learning Baselines ⭐ 330

PyTorch Implementation for Deep Metric Learning Pipelines

Revisiting_deep_metric_learning_pytorch ⭐ 217

(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.

Symmetrical Synthesis ⭐ 66

Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)

Embedding Expansion ⭐ 56

Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)

Cvpr2020_pads ⭐ 36

Code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning" (CVPR 2020)

Eccv2020_diva_multifeature_dml ⭐ 26

(ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.13458), which extends vanilla DML with auxiliary and self-supervised features.

Pytorch Hdml ⭐ 20

Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch

Proxy Synthesis ⭐ 20

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning

Characterizing_generalization_in_deepmetriclearning ⭐ 11

Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.

AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks

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