Update README.md

README.md

 # High-resolution networks (HRNets) for Semantic Segmentation
 
 ## News
-- HRNet + OCR + SegFix: Rank \#1 (84.5) in [Cityscapes leaderboard](https://www.cityscapes-dataset.com/benchmarks/). OCR: object contextual represenations [pdf] (https://arxiv.org/pdf/1909.11065.pdf)
+- HRNet + OCR + SegFix: Rank \#1 (84.5) in [Cityscapes leaderboard](https://www.cityscapes-dataset.com/benchmarks/). OCR: object contextual represenations [pdf] (https://arxiv.org/pdf/1909.11065.pdf). HRNet + OCR ia available at [here](https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/HRNet-OCR).
 - We reproduced the main results of HRNetV2-W48 + OCR in this repo.
 - Thanks Google and UIUC researchers. A modified HRNet combined with semantic and instance multi-scale context achieves SOTA panoptic segmentation result on the Mapillary Vista challenge. See [the paper](https://arxiv.org/pdf/1910.04751.pdf).
 - Small HRNet models for Cityscapes segmentation. Superior to MobileNetV2Plus ....