CvT
assembled-cnn
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CvT | assembled-cnn | |
---|---|---|
2 | 1 | |
515 | 330 | |
4.1% | 0.6% | |
0.0 | 0.0 | |
12 months ago | over 3 years ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
CvT
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has anyone here implemented Convolutional Vision Transformer (CvT)?
Isn't https://github.com/microsoft/CvT the official code?
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Researchers from McGill University and Microsoft Introduces Convolutional vision Transformer (CvT) that improves Vision Transformer (ViT) in Performance and Efficiency by Introducing Convolutions into ViT
Continue reading | Check out the paper and code.
assembled-cnn
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[R] ResNet strikes back: An improved training procedure in timm. There has been significant progress on best practices for training neural nets since ResNet's introduction in 2015. With such advances, a vanilla ResNet-50 reaches 80.4% top-1 accuracy on ImageNet without extra data or distillation.
As far as i know, the assemble-ResNet-50 (https://github.com/clovaai/assembled-cnn) gets 82.8% top-1, though they make some (minor) changes to ResNet-50 architecture.
What are some alternatives?
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
biprop - Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.
convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
create-go-app - ✨ A complete and self-contained solution for developers of any qualification to create a production-ready project with backend (Go), frontend (JavaScript, TypeScript) and deploy automation (Ansible, Docker) by running only one CLI command.
Naruto_Handsign_Classification - Naruto Hand Gesture Recognition with OpenCV and Transfer Learning
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]
autogluon - Fast and Accurate ML in 3 Lines of Code
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.