Sungyeon Kim's repositories

Proxy-Anchor-CVPR2020

Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

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Beyond-Binary-Supervision-CVPR19

Official pytorch Implementation of Deep Metric Learning Beyond Binary Supervision, CVPR 2019

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HIER-CVPR23

Official PyTorch Implementation of HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization, CVPR 2023

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LabelRelaxation-CVPR21

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

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STML-CVPR22

Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022

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irn

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

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SimGNN

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

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Deep-Metric-Learning-CVPR16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

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deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

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DeepHash

An Open-Source Package for Deep Learning to Hash (DeepHash)

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ECO

Matlab implementation of the ECO tracker.

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faiss

A library for efficient similarity search and clustering of dense vectors.

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fastrcnn-models.torch

Fast-RCNN models in Torch-7 format

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git_cv_seminar

GIT seminar

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mugs

A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".

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proxy-nca

PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies` (as introduced by Google Research).

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proxy-synthesis

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

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

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RKD

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

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