| qubvel/segmentation_models |
4,514 |
|
12 |
16 |
over 2 years ago |
8 |
January 10, 2020 |
263 |
mit |
Python |
| Segmentation models with pretrained backbones. Keras and TensorFlow Keras. |
| zhanghang1989/ResNeSt |
3,070 |
|
0 |
5 |
over 3 years ago |
1,081 |
July 07, 2022 |
58 |
apache-2.0 |
Python |
| ResNeSt: Split-Attention Networks |
| roytseng-tw/Detectron.pytorch |
2,695 |
|
0 |
0 |
over 6 years ago |
0 |
|
121 |
mit |
Python |
| A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available. |
| whai362/PVT |
1,289 |
|
0 |
0 |
over 3 years ago |
0 |
|
26 |
apache-2.0 |
Python |
| wuhuikai/FastFCN |
636 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
other |
Python |
| FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. |
| kevin-ssy/FishNet |
511 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Python |
| Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018 |
| youngwanLEE/CenterMask |
449 |
|
0 |
0 |
about 6 years ago |
0 |
|
12 |
other |
Python |
| CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020 |
| bowenc0221/panoptic-deeplab |
333 |
|
0 |
0 |
about 5 years ago |
0 |
|
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) |
| DWCTOD/ICCV2021-Papers-with-Code-Demo |
212 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
|
|
| ICCV 2021 paper with code |
| hongfz16/DS-Net |
181 |
|
0 |
0 |
almost 4 years ago |
0 |
|
6 |
mit |
Python |
| [CVPR 2021] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16) |
