Comments (4)
您好,感谢您的关注,我们已经复现并在ImageNet上验证了HRNet
- 配置文件地址:https://github.com/PaddlePaddle/PaddleClas/tree/master/configs/HRNet
- 模型文件地址:https://github.com/PaddlePaddle/PaddleClas/blob/master/ppcls/modeling/architectures/hrnet.py
- 分类精度指标和相应的预测速度文档:https://github.com/PaddlePaddle/PaddleClas/blob/master/docs/zh_CN/models/HRNet.md
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是的,HRNet因为融合了高层特征和高分辨率特征,所以它在对分辨率信息敏感的任务里还是非常有优势的,比如关键点检测等任务。
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@littletomatodonkey ,感谢你的信息和分享,
从结果上面看,HRNet的精度似乎不及SENet,
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@littletomatodonkey ,谢谢你的解答!
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