HRNet-Semantic-Segmentation VS segmenter

Compare HRNet-Semantic-Segmentation vs segmenter and see what are their differences.

HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919 (by HRNet)

segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation (by rstrudel)
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HRNet-Semantic-Segmentation segmenter
1 1
3,018 797
0.0% -
0.0 0.0
over 1 year ago 11 days ago
Python Python
GNU General Public License v3.0 or later MIT License
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HRNet-Semantic-Segmentation

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

segmenter

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

What are some alternatives?

When comparing HRNet-Semantic-Segmentation and segmenter you can also consider the following projects:

Restormer - [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

Vision-Project-Image-Segmentation

segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Real-time-Semantic-Segmentation

IAST-ECCV2020 - IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

PatchFusion - [CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation

SeMask-Segmentation - [NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation