HRNet-Semantic-Segmentation
HRNet-Semantic-Segmentation | Real-time-Semantic-Segmentation | |
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1 | 1 | |
3,018 | 7 | |
0.0% | - | |
0.0 | 1.8 | |
over 1 year ago | about 3 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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HRNet-Semantic-Segmentation
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Some general and HRNetV2+OCR related questions (Semantic Segmentation)
Hi everyone. I'm trying utilize popular HRNetV2+OCR model posted in this repo
Real-time-Semantic-Segmentation
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[D] My first serious effort into semantic segmentation
The link to the implementation: Real-time-Semantic-Segmentation
What are some alternatives?
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.
SeMask-Segmentation - [NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation
Vision-Project-Image-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
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
segmenter - [ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation