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Published 20 hours ago • verified publisher icon gjy3035

dramatic result in CSRNet_UCF50 model

Open yuzehui1996 opened this issue 5 years ago • 4 comments

I conducted the experiment on CSRNet_UCF50 model, the res is : mae:196.5/mse:235.3, which is not match with mae:266.1/mse:397.5 in https://github.com/gjy3035/Awesome-Crowd-Counting#SPN.

yuzehui1996 avatar Jul 10 '19 04:07 yuzehui1996

C3F's implementation is not official, which adopts different training parameters and scheme. The latter (266.1/397.5) is the original result in CSR paper.

gjy3035 avatar Jul 10 '19 06:07 gjy3035

Thanks！And i found the vgg-decoder network train on shanghaiB dataset, the pred is always 0 during the train and the test.

yuzehui1996 avatar Jul 11 '19 11:07 yuzehui1996

You may need to use our provided parameters.

gjy3035 avatar Jul 12 '19 01:07 gjy3035

@yuzehui1996 Hi, did you solve the pred problem for vgg-decoder in SHHB?

erichhhhho avatar Jul 24 '20 09:07 erichhhhho