HugsVision VS CoordConv

Compare HugsVision vs CoordConv 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)
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HugsVision CoordConv
1 1
188 141
- -
0.0 0.0
9 months ago 4 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

HugsVision

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

CoordConv

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

What are some alternatives?

When comparing HugsVision and CoordConv you can also consider the following projects:

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

glasses - High-quality Neural Networks 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.

fashionpedia-api - Python API for Fashionpedia Dataset

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

CoordConv

Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Vision-Project-Image-Segmentation

T2T-ViT - ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

ru-dalle - Generate images from texts. In Russian