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HRNet / HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

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COCO-Stuff failure to reproduce results

AlaaAnani opened this issue · comments

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Hello, could you please add more details regarding the COCO-Stuff dataset in the data/cocostuff directory?

I assume that you use COCO-Stuff-10k v.1.1, which if downloaded, only has .mat files for the annotations. I acquired the .png labels format by using the transformation found in the mmsegmentation repository. This automatically changes the label <original image name>.mat files to <original image name>_labelTrainIds.png. Nevertheless, this doesn't match the naming convention in the val.lst file. However, even if I account for the different naming convention, the mIoU and the pixel accuracy are far too low (< 1%), which clearly indicates that something is either wrong with the dataset or the model.

Based on that, could you please elaborate further on the dataset creation process you went through?