DOLG-pytorch
pytorch-metric-learning
| DOLG-pytorch | pytorch-metric-learning | |
|---|---|---|
| 1 | 3 | |
| 123 | 5,764 | |
| - | - | |
| 0.0 | 7.9 | |
| over 2 years ago | about 1 month ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DOLG-pytorch
-
[R] DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Unofficial Code : https://github.com/dongkyuk/DOLG-pytorch
pytorch-metric-learning
-
Similarity Learning lacks a framework. So we built one
Not a full featured framework, but pytorch-metric-learning has data loaders, lossess, etc. to facilitate similarity learning: https://github.com/KevinMusgrave/pytorch-metric-learning
Disclaimer: I've made some contributions to it.
-
[R][D] VAE Embedding Space - Can we force it to learn a metric?
You can use the triplet loss together with the Gaussian prior. It will be zero centered though and the clusters are not as separated when you use the triplet loss only.There are many alternative to the triplet loss, in case it needs to be a metric: https://github.com/KevinMusgrave/pytorch-metric-learning
-
[D] Similar Image Retrieval
This repo provides the tools and examples needed to build such a model: https://github.com/KevinMusgrave/pytorch-metric-learning
What are some alternatives?
Image-Forgery-Detection-CNN - Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
lightly - A python library for self-supervised learning on images.
fast-reid - SOTA Re-identification Methods and Toolbox
Hierarchical-Localization - Visual localization made easy with hloc
byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
autogluon - Fast and Accurate ML in 3 Lines of Code
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch