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HRNet avatar

HRNet/HRNet-Semantic-Segmentation

0
View on GitHub↗
3,327 stars·697 forks·Python·17 views

HRNet Semantic Segmentation

This is the implementation for PyTroch 0.4.1. - The HRNet + OCR version ia available here. - The PyTroch 1.1 version is available here.

Features

  • Attention Mechanisms - Object-contextual representations for semantic segmentation.
  • Segmentation Architectures - HRNet implementation in PyTorch.
  • Image segmentation - Listed in the “Image segmentation” section of the Ailia Models awesome list.

Star history

Star history chart for hrnet/hrnet-semantic-segmentationStar history chart for hrnet/hrnet-semantic-segmentation

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with HRNet Semantic Segmentation

These projects share indexed features with HRNet Semantic Segmentation. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • junfu1115/danetjunfu1115 avatar

    junfu1115/DANet

    2,459View on GitHub↗

    Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu

    Python
    View on GitHub↗2,459
  • speedinghzl/ccnetspeedinghzl avatar

    speedinghzl/CCNet

    1,484View on GitHub↗

    Paper Links: Our most recent TPAMI version with improvements and extensions (Earlier ICCV version).

    Python
    View on GitHub↗1,484
  • davidtvs/pytorch-enetD

    davidtvs/PyTorch-ENet

    0View on GitHub↗
    View on GitHub↗0
  • tensorflow/modelstensorflow avatar

    tensorflow/models

    77,663View on GitHub↗

    This repository serves as a centralized collection of state-of-the-art deep learning architectures and reference implementations designed for research and application development. It provides a comprehensive toolkit for computer vision and natural language processing, offering pre-built models and training pipelines for tasks ranging from image classification and object detection to complex sequence modeling. The project distinguishes itself by providing a flexible execution harness that manages the entire training lifecycle, including data ingestion and backpropagation. It supports scalable

    Python
    View on GitHub↗77,663
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Frequently asked questions

What does hrnet/hrnet-semantic-segmentation do?

This is the implementation for PyTroch 0.4.1. - The HRNet + OCR version ia available here. - The PyTroch 1.1 version is available here.

What are the main features of hrnet/hrnet-semantic-segmentation?

The main features of hrnet/hrnet-semantic-segmentation are: Attention Mechanisms, Segmentation Architectures, Image segmentation.

Which projects share features with hrnet/hrnet-semantic-segmentation?

Projects with overlapping indexed features include: speedinghzl/ccnet — Paper Links: Our most recent TPAMI version with improvements and extensions (Earlier ICCV version). tusimple/tusimple-duc. davidtvs/pytorch-enet. junfu1115/danet — Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu. tensorflow/models — This repository serves as a centralized collection of state-of-the-art deep learning architectures and reference… wkentaro/pytorch-fcn — PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.).