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yanxp / MetaR-CNN

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning
https://yanxp.github.io/metarcnn.html
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> > > @1696427331 Have you solved the problem?Is it a data set construction problem？ #59

Closed zzh-nwpu closed 3 years ago

zzh-nwpu commented 3 years ago

@1696427331 Have you solved the problem?Is it a data set construction problem？

I haven't solved this problem yet. I use the same data set and data set structure as mentioned in readme. There is no error in network training, and loss seems to be normal, but the accuracy is not right.

Hi, have you solved the problem? I met the same problem. The mAP is 0. Besides, I also tried FSDet, which is based on this repo and met 0 mAP problem again. Everything seems normal, but the model can't produce anything. I noticed the training loss is about 1.5 from the forth epoch, which is much higher than the authors provided 0.3. And the meta loss strangely remains the same... What about your case? Thanks

Sorry，I don't know the cause of the problem at the moment. The problem I encountered was the same as you. The training loss of the model was maintained at about 1.5, and the meta loss basically did not decrease.

Originally posted by @1696427331 in https://github.com/yanxp/MetaR-CNN/issues/58#issuecomment-862144829

zzh-nwpu commented 3 years ago

@1696427331 Have you solved the problem?Is it a data set construction problem？

I haven't solved this problem yet. I use the same data set and data set structure as mentioned in readme. There is no error in network training, and loss seems to be normal, but the accuracy is not right.

Hi, have you solved the problem? I met the same problem. The mAP is 0. Besides, I also tried FSDet, which is based on this repo and met 0 mAP problem again. Everything seems normal, but the model can't produce anything. I noticed the training loss is about 1.5 from the forth epoch, which is much higher than the authors provided 0.3. And the meta loss strangely remains the same... What about your case? Thanks

Sorry，I don't know the cause of the problem at the moment. The problem I encountered was the same as you. The training loss of the model was maintained at about 1.5, and the meta loss basically did not decrease.

Originally posted by @1696427331 in #58 (comment)

hanhao2019102935 commented 3 years ago

Have you found the cause of the problem?I see you closed the problem because it was solved? @zzh-nwpu