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The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Updated
Aug 17, 2021
Python
Anime Scene Search by Image
Updated
Aug 2, 2021
Shell
Updated
Aug 19, 2021
Python
SOTA Re-identification Methods and Toolbox
Updated
Aug 12, 2021
Python
📝 Awesome and classical image retrieval papers
Visual localization made easy with hloc
Updated
Aug 18, 2021
Python
Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)
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Aug 11, 2021
Python
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
Updated
Jan 25, 2021
Python
Open source library for content based image retrieval / visual information retrieval.
Updated
Apr 23, 2021
Java
Updated
Aug 10, 2020
Python
🌅 The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
Updated
Jan 5, 2021
MATLAB
Various hashing methods for image retrieval and serves as the baselines
Updated
Jan 31, 2021
MATLAB
Simple image search engine
Updated
Jul 2, 2021
Python
🏞 A content-based image retrieval (CBIR) system
Updated
Sep 21, 2020
Python
🚀 CNN-based image retrieval built on Keras
Updated
Dec 26, 2018
Python
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
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Sep 15, 2020
Python
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Updated
Jul 1, 2020
Python
Deep Learning Computer Vision Algorithms for Real-World Use
Updated
Sep 12, 2019
Python
This Telegram Bot can tell the anime when you send an screenshot to it
Updated
Jul 31, 2021
JavaScript
A PyTorch library for benchmarking deep metric learning. It's powerful.
Updated
Jan 21, 2021
Python
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
Updated
Sep 4, 2019
Python
A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.
Comparison of famous convolutional neural network models
ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Updated
Jun 29, 2021
Cuda
PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
Updated
Jun 14, 2021
Python
PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"
Updated
Feb 1, 2021
Jupyter Notebook
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
Updated
Aug 19, 2021
Python
Scene search On Liresolr for Animation. (and video)
Updated
Aug 3, 2021
JavaScript
Using siamese network to do dimensionality reduction and similar image retrieval
Updated
Jul 22, 2019
Jupyter Notebook
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Various hashing methods for image retrieval and serves as the baselines
It seems that you used different criteria during training and testing as the code below shows:
IN TEST:
scores = np.dot(vecs.T, qvecs)
IN TRAIN:
dif = x1 - x2
D = torch.pow(dif+eps, 2).sum(dim=0).sqrt()
I did not get it why you do so?