Panoptic Deeplab
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Trackr Cnn | 398 | 3 years ago | 2 | mit | Python | |||||
| TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS) | ||||||||||
| Sinet | 368 | 2 years ago | Python | |||||||
| Camouflaged Object Detection, CVPR 2020 (Oral) | ||||||||||
| Panoptic Deeplab | 333 | 3 years ago | 7 | apache-2.0 | Python | |||||
| This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194) | ||||||||||
| Segcaps | 203 | 4 years ago | 12 | apache-2.0 | Python | |||||
| Official Implementation of the Paper "Capsules for Object Segmentation". | ||||||||||
| Fast Semantic Segmentation | 184 | 4 years ago | 1 | Python | ||||||
| ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation | ||||||||||
| Odms | 67 | 2 years ago | ||||||||
| Object Depth via Motion and Segmentation Dataset | ||||||||||
| Unsupervised_llamas | 65 | 2 years ago | other | Python | ||||||
| Code for https://unsupervised-llamas.com | ||||||||||
| Comma10k Baseline | 59 | 2 years ago | mit | Python | ||||||
| A baseline segmentation example using the comma10k dataset (WIP) | ||||||||||
| Frontend Regression Validator | 55 | 4 years ago | other | Python | ||||||
| Visual regression tool used to compare baseline and updated instances of a website in a deployment pipeline. | ||||||||||
| Mvpnet | 34 | 4 years ago | other | Python | ||||||
| Implementation of the paper "Multi-view PointNet for 3D Scene Understanding" | ||||||||||
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