diffseg VS PaddleViT

Compare diffseg vs PaddleViT and see what are their differences.

diffseg

DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption. (by google)
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diffseg PaddleViT
1 2
216 1,169
7.4% -
5.5 0.0
13 days ago over 1 year ago
Jupyter Notebook Python
MIT License Apache License 2.0
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.

PaddleViT

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

What are some alternatives?

When comparing diffseg and PaddleViT you can also consider the following projects:

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

FastestDet - :zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

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.

image-background-remove-tool - ✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

ttach - Image Test Time Augmentation with PyTorch!

SINet - Camouflaged Object Detection, CVPR 2020 (Oral)

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 - Simplified Pytorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10.

ml-cvnets - CVNets: A library for training computer vision networks