Segmenter - Python Similar Projects List

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Segmenter - Python

https://github.com/rstrudel/segmenter

Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Download one checkpoint with its configuration in a common folder, for example seg_tiny_mask, then evaluate with:

# single-scale evaluation:
python -m segm.eval.miou seg_tiny_mask/checkpoint.pth ade20k --singlescale
# multi-scale evaluation:
python -m segm.eval.miou seg_tiny_mask/checkpoint.pth ade20k --multiscale

Segmenter - Python Similar Projects List

Semantic Segmentation Suite - Python

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!. Semantic Segmentation Suite in TensorFlow News What's New This repo has been depricated and will no longer be handling issues. Feel free to use as is :) Description This repository serves

MIT

Tfwss - Jupyter Notebook

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

SegFormer - Python

Official PyTorch implementation of "SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers"

[AAAI 2022] This is the official pytorch code for SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal. SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal This is the official pytorch code for SSAT: A Symmetric Semantic-

Official implementation for paper "SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer

HRNet Semantic Segmentation - Python

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919. High-resolution networks (HRNets) for Semantic Segmentation Branches This is the implementation for PyTroch 0.4.1. The HRNet + OCR version ia available here. The PyTroch 1.1 version is available here.

Official Implementation of Part-aware Prototype Network for Few-shot Semantic Segmentation

Official implementation of "DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation". Accepted by ACM Multimedia 2021.

MIT License

Group WSSS - Python

Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

MIT License

Vit pytorch - Python

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Transformer in transformer

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Remote sensing image semantic segmentation tf2 - Python

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet. The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and segnet.

BSD-3-Clause

Semantic segmentation pytorch - Python

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset. Semantic Segmentation on MIT ADE20K dataset in PyTorch This is a PyTorch implementation of semantic segmentation models on MIT ADE20K scene parsing dataset (http://sceneparsing.csail.mit.edu/). ADE20K is the largest open source

GPL-3.0

Pytorch UNet - Python

PyTorch implementation of the U-Net for image semantic segmentation with high quality images. UNet: semantic segmentation with PyTorch Customized implementation of the U-Net in PyTorch for Kaggle's Carvana Image Masking Challenge from high definition images. This model was trained from scratch with 5000 images (no data

2022.BestofGithub

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