The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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Updated
Apr 1, 2024 - Python
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Adversarial Attack and Defense in Deep Ranking, T-PAMI, 2024
Official implementation of STOS in an original article "High-intensified resemblance & Statistic-Restructured Alignment in Few-Shot DA for Industrial-Specialized Employment"
This project Implements the paper “Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness” using the Python language.
A novel dynamic learning strategy that overcomes the empirical search of an optimal number of subspace learners in multiple metric learners.
Simple face detection and recognition in images and videos, deep metric learning with Dlib's HoG face detection model
Official Implementation of our paper "Supervision meets Self-Supervision: A Deep Multitask Network for Colorectal Cancer Histopathological Analysis" [Best Paper Award at MISP 2022]
Authors official Tensorflow implementation of the "Near-Duplicate Video Retrieval with Deep Metric Learning" [ICCVW 2017]
Metric Learning (npair loss & angular loss) on mnist and Visualizing by t_SNE
A simple, modern and scalable facial recognition based attendance system built with Python back-end & Angular front-end.
Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.
[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning
Deep Metric Learning
Enhancing Adversarial Robustness for Deep Metric Learning, CVPR, 2022
Pytorch Implementation of bmvc 2022 paper "Beyong the CLS Token: Image Reranking using Pretrained Vision Transformers"
a task of learning a distance function over data in extracted feature understanding
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
A Real Time Image based attendance system that takes time spent loitering around into account, when marking the attendance for each individual.
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
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