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hello, have you trained the model directly on the shanghaitech dataset, or have you trained it on imagenet then fineturn it ??? I directly train it , but the loss is about is 60, I doubt it has something wrong
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Hi,
the result presented in the paper was trained from scratch, however we also
tried with finetuning from Imagenet classification task, which gives almost
the same result.
You should be careful with the data format in caffe NCHW, so better visual
either your input or output.
Thanks
2018-06-20 6:46 GMT+02:00 chengtingting <notifications@github.com>:
hello, have you trained the model directly on the shanghaitech dataset, or
have you trained it on imagenet then fineturn it ??? I directly train it ,
but the loss is about is 60, I doubt it has something wrong
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hello, have you trained the model directly on the shanghaitech dataset, or have you trained it on imagenet then fineturn it ??? I directly train it , but the loss is about is 60, I doubt it has something wrong
The text was updated successfully, but these errors were encountered: