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Unverified Commit 1626a9df authored by Jingdong Wang's avatar Jingdong Wang Committed by GitHub
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Update README.md

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- The PyTroch 0.4.1 version is available [here](https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/master). - The PyTroch 0.4.1 version is available [here](https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/master).
## News ## News
- [2020/07] Our paper is accepted by ECCV 2020:[https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/HRNet-OCR?v=2](https://arxiv.org/pdf/1909.11065.pdf)
- [2020/03/13] Our paper is accepted by TPAMI: [Deep High-Resolution Representation Learning for Visual Recognition](https://arxiv.org/pdf/1908.07919.pdf). - [2020/03/13] Our paper is accepted by TPAMI: [Deep High-Resolution Representation Learning for Visual Recognition](https://arxiv.org/pdf/1908.07919.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 is reproduced [here](https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/HRNet-OCR)***. - 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 is reproduced [here](https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/HRNet-OCR)***.
- 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). - 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).
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