From c57381c7ca15e1439a8c2ff4955a0bd10e1262a2 Mon Sep 17 00:00:00 2001 From: simon-hoon Date: Fri, 30 Apr 2021 01:25:50 +0900 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 8e2776f7..4ab93ba2 100644 --- a/README.md +++ b/README.md @@ -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.