Comments (8)
Problem solved. The authors use Common_Yellowthroat as the 0 class, which is different to most of us: use Common_Yellowthroat as the 200 class.
However, I still don't achieve reported accuracy. I got train acc of 100% and test acc of only 78% (supposed to be 85.3%). I follow the official instruction.
README.txt
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@MichaelLiang12 Hello, I'm trying to begin my experient according to this paper in TensorFlow , but the code link are unavailabel . Do you have download it ?Only code is very well ,I want to know more details in it .Could you please send it to me ? My mailbox is [email protected] .Thank you very much !
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The link is still available now. Maybe you should turn to a VPN tool like Lantern. For convenience, I uploaded the resource to BaiduYun.
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@MichaelLiang12 Hello, I'm trying to training... Could you please send the train.prototxt to me? Thank you very much.
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I don't have train.prototxt neither. Even for testing, I failed to reproduce.
from recurrent-attention-cnn.
@MichaelLiang12 Hi, can you leave a contact to me (maybe qq)?
I am confused about training the model on windows. Could you give me some instructions? My email address is [email protected]
thank you very much!
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@ProblemTryer Sorry, I didn't try to train the model. I just tested the model with given files, but achieved inferior results.
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The link is still available now. Maybe you should turn to a VPN tool like Lantern. For convenience, I uploaded the resource to BaiduYun.
百度云链接失效了请问还可以分享一下链接嘛,或者我的邮箱是[email protected],非常感谢
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Related Issues (20)
- where is the code? HOT 47
- Equation 7 in the paper confused me HOT 1
- AttentionCrop Layer: Where can we find it? HOT 4
- The effect of softmax loss and rank loss HOT 21
- Some questions about training and testing HOT 20
- Paper's VGG-19 accuracy question HOT 21
- Implement RA-CNN in tensorflow HOT 6
- Data augmentation? HOT 1
- Is the code and model link still available? HOT 6
- Vanishing gradient issue in APN HOT 1
- 论文流程理解 HOT 10
- Implementation in pytorch HOT 22
- The question about training with rank loss . HOT 2
- code and model HOT 6
- some problem about APN HOT 1
- Why we can not achieve the performance mentioned in original paper?
- Missing Windows under RA_CNN_caffe folder
- Where can i download the original implement code? HOT 2
- original implement code
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