diffseg VS caer

Compare diffseg vs caer 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 caer
1 8
220 750
9.1% -
5.5 0.0
17 days ago 7 months ago
Jupyter Notebook Python
MIT License MIT License
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caer

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

What are some alternatives?

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

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

fiftyone - The open-source tool for building high-quality datasets and computer vision models

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

img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing

ttach - Image Test Time Augmentation with PyTorch!

opencv - Haskell binding to OpenCV-3.x

PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"

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

instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more

moviepy - Video editing with Python

RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!