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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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Do anyone reproduce the result on LIP dataset? #198

Open tjpulkl opened 3 years ago

tjpulkl commented 3 years ago

I use the environment that the author suggested, but I can not reproduce the result. Have anyone done? I run the code three times, but every time the result is :50.76? Why? image

tjpulkl commented 3 years ago

image I use this pretrained model when I trained on LIP dataset.

shambhavi-ml commented 3 years ago

@tjpulkl Any luck on this?

tjpulkl commented 3 years ago

No, do you have any suggestions to me?

Margrate commented 2 years ago

50.76 is the results with the config FLIP=False paper's results is FLIP=True But I can't get the same Mean_Acc as author by testing the lip model released

tjpulkl commented 2 years ago

could you give me your result on lip validation dataset?

Margrate commented 2 years ago

train on val(sample 2000 images) mIoU=50.93 testval(10000 images).   mIoU:0.5544,  Pixel_Acc:0.8807, Mean_Acc:0.6617

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------------------ 原始邮件 ------------------ 发件人: "HRNet/HRNet-Semantic-Segmentation" @.>; 发送时间: 2021年9月7日(星期二) 下午5:47 @.>; @.**@.>; 主题: Re: [HRNet/HRNet-Semantic-Segmentation] Do anyone reproduce the result on LIP dataset? (#198)

could you give me your result on lip validation dataset?

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