CoordConv VS CNN-Filter-DB

Compare CoordConv vs CNN-Filter-DB and see what are their differences.

CoordConv

Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247 (by walsvid)
coordconv Pytorch Computer Vision Deep Learning pytorch-implmention pytorch-cnn Convolution
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CNN-Filter-DB

A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL) (by paulgavrikov)
Cnn Database Machine Learning Deep Learning nips-2021 Dataset cvpr2022 Computer Vision Convolution convolutional-neural-networks
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CoordConv CNN-Filter-DB
1 1
142 28
- -
0.0 2.2
4 months ago 11 months ago
Jupyter Notebook Jupyter Notebook
MIT License Creative Commons Attribution Share Alike 4.0
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CoordConv

Posts with mentions or reviews of CoordConv. We have used some of these posts to build our list of alternatives and similar projects.

CNN-Filter-DB

Posts with mentions or reviews of CNN-Filter-DB. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing CoordConv and CNN-Filter-DB you can also consider the following projects:

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Food-Recipe-CNN - food image to recipe with deep convolutional neural networks.

glasses - High-quality Neural Networks for Computer Vision 😎

GTSRB - Convolutional Neural Network for German Traffic Sign Recognition Benchmark

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

diffae - Official implementation of Diffusion Autoencoders

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

sign2text - Real-time AI-powered translation of American Sign Language fingerspelling (sign to text)

CoordConv vs HugsVision CNN-Filter-DB vs Food-Recipe-CNN CoordConv vs glasses CNN-Filter-DB vs GTSRB CNN-Filter-DB vs AI-For-Beginners CNN-Filter-DB vs diffae CNN-Filter-DB vs gan-vae-pretrained-pytorch CNN-Filter-DB vs computervision-recipes CNN-Filter-DB vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning CNN-Filter-DB vs sign2text