S2-BNN
pytorch-metric-learning
| S2-BNN | pytorch-metric-learning | |
|---|---|---|
| 1 | 3 | |
| 61 | 5,785 | |
| - | - | |
| 2.7 | 7.9 | |
| over 2 years ago | about 1 month ago | |
| Python | Python | |
| - | MIT License |
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S2-BNN
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[R] Knowledge Distillation, Model Ensemble and Its Application on Visual Recognition - Link to a free online lecture by the author in comments
CVPR 2021 paper ‘S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration’, Github: https://github.com/szq0214/S2-BNN
pytorch-metric-learning
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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.
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[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
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[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?
temporal-shift-module - [ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
MEAL-V2 - MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
lightly - A python library for self-supervised learning on images.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
autogluon - Fast and Accurate ML in 3 Lines of Code
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Transformer-SSL - This is an official implementation for "Self-Supervised Learning with Swin Transformers".
ComboLoss - Official PyTorch Implementation for Paper <ComboLoss for Facial Attractiveness Analysis with Squeeze-and-Excitation Networks> (State-of-the-art Performance on 3 Popular Benchmark Dataset)
barlowtwins - Implementation of Barlow Twins paper