IAST-ECCV2020
SeMask-Segmentation
| IAST-ECCV2020 | SeMask-Segmentation | |
|---|---|---|
| 1 | 2 | |
| 84 | 244 | |
| - | 2.0% | |
| 1.8 | 2.8 | |
| over 2 years ago | 7 months ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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IAST-ECCV2020
SeMask-Segmentation
-
Researchers Introduce ‘SeMask’: An Effective Transformer-Framework That Incorporates Semantic Information Into The Encoder With The Help Of A Semantic Attention Operation
Paper: https://arxiv.org/abs/2112.12782
Github: https://github.com/Picsart-AI-Research/SeMask-Segmentation
What are some alternatives?
Real-time-Semantic-Segmentation
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
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
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
semantic-segmentation-pytorch - Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset