diffseg VS ttach

Compare diffseg vs ttach 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)
Computer Vision Segmentation stable-diffusion
Source Code
sites.google.com
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ttach

Image Test Time Augmentation with PyTorch! (by qubvel)
Augmentation Deep Learning test-time-augmentation tta tta-wrapper Pytorch Computer Vision Classification Segmentation keypoint-detection
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diffseg ttach
1 1
220 946
9.1% -
5.5 0.0
17 days ago 10 months ago
Jupyter Notebook Python
MIT License MIT License
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diffseg

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

ttach

Posts with mentions or reviews of ttach. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-09.
  • Setting up Google Colab for Deep Learning
    2 projects | dev.to | 9 Jun 2021
    While Colab usually comes pre-installed with most of the basic dependencies like Tensorflow, PyTorch, scikit-learn, pandas and many more, there are chances that you have to install external packages at times. You can do that using the !pip install command. For example we can install the ttach library which is used for augmentation of images during test phase. This can be done using:

What are some alternatives?

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

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

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

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

autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

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

deepsegment - A sentence segmenter that actually works!

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

pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

diffseg vs caer ttach vs albumentations diffseg vs XMem ttach vs TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch diffseg vs image-background-remove-tool ttach vs autoalbument diffseg vs PaddleViT ttach vs deepsegment diffseg vs PixelLib ttach vs pointnet2 ttach vs mmrazor ttach vs DeepLabCut