cocosplit
Simple tool to split COCO annotations into train/test datasets. (by akarazniewicz)
GCVit
[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers (by NVlabs)
cocosplit | GCVit | |
---|---|---|
1 | 1 | |
236 | 415 | |
- | 0.5% | |
0.0 | 7.0 | |
9 months ago | 5 months ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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.
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.
cocosplit
Posts with mentions or reviews of cocosplit.
We have used some of these posts to build our list of alternatives
and similar projects.
-
How to split images based on custom COCO annotation?
- Using https://github.com/akarazniewicz/cocosplit I split the annotation json file into train and test.
GCVit
Posts with mentions or reviews of GCVit.
We have used some of these posts to build our list of alternatives
and similar projects.
-
NVIDIA Researchers Propose Global Context Vision Transformer (GC ViT): A Novel Architecture That Enhances Parameter And Compute Utilization
Continue reading | Checkout the paper, github
What are some alternatives?
When comparing cocosplit and GCVit you can also consider the following projects:
semantic-segmentation-pytorch - Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
ml-cvnets - CVNets: A library for training computer vision networks
InternImage - [CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions