ArcFace head module for Automated feature extraction/Deep Metric Learning with Autokeras
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Updated
Apr 29, 2021 - Python
ArcFace head module for Automated feature extraction/Deep Metric Learning with Autokeras
PyTorch Implementation for Deep Metric Learning Pipelines
Simple face detection and recognition in images and videos, deep metric learning with Dlib's HoG face detection model
This project Implements the paper “Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness” using the Python language.
Identifying the corresponding CT slices among the past scans of the same patient via deep metric learning
Deep Metric Learning
A Real Time Image based attendance system that takes time spent loitering around into account, when marking the attendance for each individual.
A novel dynamic learning strategy that overcomes the empirical search of an optimal number of subspace learners in multiple metric learners.
Official implementation of STOS in an original article "High-intensified resemblance & Statistic-Restructured Alignment in Few-Shot DA for Industrial-Specialized Employment"
Sigmoid triplet hardness sequencing approach over other mining approaches, intended for tackling feature-collapse in triplet loss
Master's Degree Project – M.Sc. in Media Technology and Engineering at Linköping University – Automated Gait Analysis Using Deep Metric Learning
The PyTorch implementation of Discriminant Distribution-Agnostic loss (DDA loss)
Pytorch Implementation of bmvc 2022 paper "Beyong the CLS Token: Image Reranking using Pretrained Vision Transformers"
Deep metric learning repository
codes for TGRS paper "Deep Metric Learning based on Scalable Neighborhood Components for Remote Sensing Scene Characterization"
codes for RS paper: High-Rankness Regularized Semi-supervised Deep Metric Learning for Remote Sensing Imagery
Replication of 'Deep metric Learning Using Triplet Network'
A deep metric learning approach for histopathological image retrieval
Official Implementation of our paper "Supervision meets Self-Supervision: A Deep Multitask Network for Colorectal Cancer Histopathological Analysis" [Best Paper Award at MISP 2022]
"Deep Metric Learning Meets DeepClustering: An Novel UnsupervisedApproach for Feature Embedding" (BMVC 2020)
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