| HRNet/HRNet-Semantic-Segmentation |
2,714 |
|
0 |
0 |
over 3 years ago |
0 |
|
151 |
other |
Python |
| 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 |
| NVlabs/SegFormer |
2,056 |
|
0 |
0 |
over 2 years ago |
0 |
|
89 |
other |
Python |
| Official PyTorch implementation of SegFormer |
| NVIDIA/semantic-segmentation |
1,306 |
|
0 |
0 |
over 4 years ago |
0 |
|
56 |
bsd-3-clause |
Python |
| Nvidia Semantic Segmentation monorepo |
| SHI-Labs/OneFormer |
1,066 |
|
0 |
0 |
over 2 years ago |
0 |
|
14 |
mit |
Jupyter Notebook |
| [CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation |
| speedinghzl/CCNet |
1,061 |
|
0 |
0 |
about 5 years ago |
0 |
|
48 |
mit |
Python |
| CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019). |
| linksense/LightNet |
716 |
|
0 |
0 |
about 6 years ago |
0 |
|
|
mit |
Python |
| LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset) |
| voldemortX/pytorch-auto-drive |
713 |
|
0 |
0 |
over 2 years ago |
0 |
|
30 |
bsd-3-clause |
Python |
| PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help |
| speedinghzl/pytorch-segmentation-toolbox |
616 |
|
0 |
0 |
about 6 years ago |
0 |
|
19 |
mit |
Python |
| PyTorch Implementations for DeeplabV3 and PSPNet |
| wasidennis/AdaptSegNet |
586 |
|
0 |
0 |
over 5 years ago |
0 |
|
13 |
|
Python |
| Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight) |
| TuSimple/TuSimple-DUC |
575 |
|
0 |
0 |
over 4 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| Understanding Convolution for Semantic Segmentation |
