PaddleViT VS diffseg

Compare PaddleViT vs diffseg and see what are their differences.

PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+ (by BR-IDL)
Cv Computer Vision Paddlepaddle vit mlp Transformer encoder-decoder Classification Detection Segmentation Gan Deep Learning semantic-segmentation object-detection
Source Code
github.com
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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)
Computer Vision Segmentation stable-diffusion
Source Code
sites.google.com
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PaddleViT diffseg
2 1
1,169 212
- 13.2%
0.0 5.8
over 1 year ago 18 days ago
Python Jupyter Notebook
Apache License 2.0 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.

PaddleViT

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

diffseg

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

What are some alternatives?

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

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

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

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.

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

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

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

SINet - Camouflaged Object Detection, CVPR 2020 (Oral)

ttach - Image Test Time Augmentation with PyTorch!

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

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

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

PaddleViT vs FastestDet diffseg vs caer PaddleViT vs medicaldetectiontoolkit diffseg vs XMem PaddleViT vs mmrazor diffseg vs image-background-remove-tool PaddleViT vs SINet diffseg vs ttach PaddleViT vs PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 diffseg vs PixelLib PaddleViT vs ttach PaddleViT vs ml-cvnets