Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update README.md #221

Open
wants to merge 1 commit into
base: HRNet-OCR
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
# High-resolution networks (HRNets) for Semantic Segmentation
## Branches
- This is the implementation for HRNet + OCR.
- The PyTroch 1.1 version ia available [here](https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/pytorch-v1.1).
- The PyTroch 0.4.1 version is available [here](https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/master).
- The PyTorch 1.1 version ia available [here](https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/pytorch-v1.1).
- The PyTorch 0.4.1 version is available [here](https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/master).

## News
- [2021/02/16] Based on the [PaddleClas](https://github.com/PaddlePaddle/PaddleClas) ImageNet pretrained weights, we achieve **83.22%** on Cityscapes val, **59.62%** on PASCAL-Context val (**new SOTA**), **45.20%** on COCO-Stuff val (**new SOTA**), **58.21%** on LIP val and **47.98%** on ADE20K val. Please checkout [openseg.pytorch](https://github.com/openseg-group/openseg.pytorch/tree/pytorch-1.7) for more details.
Expand Down