Segmentation Monodepth Pytorch
CNNs for semantic segmentation and monocular depth estimation in Pytorch with cross experiments and saliency map analysis
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Hrnet Semantic Segmentation | 2,714 | a year ago | 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 | ||||||||||
| Danet | 1,556 | 4 years ago | 33 | mit | Python | |||||
| Dual Attention Network for Scene Segmentation (CVPR2019) | ||||||||||
| Semantic Segmentation | 1,306 | 3 years ago | 56 | bsd-3-clause | Python | |||||
| Nvidia Semantic Segmentation monorepo | ||||||||||
| Snake | 1,111 | 9 months ago | 3 | other | Jupyter Notebook | |||||
| Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral | ||||||||||
| Ccnet | 1,061 | 3 years ago | 48 | mit | Python | |||||
| CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019). | ||||||||||
| Openseg.pytorch | 1,052 | 2 years ago | 23 | mit | Python | |||||
| The official Pytorch implementation of OCNet series and SegFix. | ||||||||||
| Deeplabv3plus Pytorch | 1,010 | a year ago | 51 | mit | Python | |||||
| Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes | ||||||||||
| Drn | 916 | 4 years ago | 27 | bsd-3-clause | Python | |||||
| Dilated Residual Networks | ||||||||||
| Lightnet | 715 | 4 years ago | n,ull | mit | Python | |||||
| LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset) | ||||||||||
| Pytorch Auto Drive | 713 | 7 months ago | 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 | ||||||||||
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