Metric learning and retrieval pipelines, models and zoo.
-
Updated
Jun 23, 2024 - Python
Metric learning and retrieval pipelines, models and zoo.
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung Sounds
[SIGIR '23] The official implementation of paper "Collaborative Residual Metric Learning"
GSV-Cities: a dataset and framework for visual place recognition
cryo-ET particle picking by representation and metric learning
Deep Metric Learning on the MNIST dataset
Self-Supervised Metric Learning of Blood Cells
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
⛹️ 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
A light-weight repository to compute Amplitude Phase distance between two functions
Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
This is the official repo for Densely-Anchored Sampling for Deep Metric Learning (ECCV 22).
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
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
Noninvasive technologies to detect, identify and monitor bears, facilitating their conservation.
Training of DL models using the metric learning technique
Add a description, image, and links to the metric-learning topic page so that developers can more easily learn about it.
To associate your repository with the metric-learning topic, visit your repo's landing page and select "manage topics."