This is the official repo for Densely-Anchored Sampling for Deep Metric Learning (ECCV 22).
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Updated
May 24, 2024 - Python
This is the official repo for Densely-Anchored Sampling for Deep Metric Learning (ECCV 22).
Library for metric learning pipelines and models.
GSV-Cities: a dataset and framework for visual place recognition
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
cryo-ET particle picking using triplet networks and metric learning
Contrastive representation learning with PyTorch
[TPAMI'23] GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector.
Relevant Component Analysis for Supervised Distance Metric Learning
leverage a base ResNet model combined with proxy anchor loss to learn an embedding space for movie posters
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Noninvasive technologies to detect, identify and monitor bears, facilitating their conservation.
Training of DL models using the metric learning technique
A Metric learning-based Method for Biomedical Entity Linking
Just prepare config file and start training your metric learning model with ease
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
Blazing fast framework for fine-tuning similarity learning models
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
In defence of metric learning for speaker recognition
Influence Function for Deep Metric Learning
Skin lesion image analysis that draws on meta-learning to improve performance in the low data and imbalanced data regimes.
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