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Hi,
Nice work!
Do you guys have any quantitative results for CUB200-2011 and CARS196 datasets?
Are there any limitations which doesn't allow to train FastAP on such small datasets?
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Hello!
Am I right that the maximum number of classes on that you tested the distillation algorithm is 200 classes (CUB200)? Which GPU did you use?
I’m trying to run the code for more than 10 cl…
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What are the training hyper parameters to get top1 acc>0.87, like batch, lr strategy? and how many epochs do you run?
I can only get 0.83 on the CUB_200_2001. I divided the data sets to 70% training,…
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When I processed the bird data set, I just pointed the path to the original data set, and the labels.txt file was not found at this time. Do I need to pre-process this data set? Looking forward for yo…
cjltw updated
4 years ago
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How do I modify your code to train it on a custom dataset?
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Hi,
Thanks for sharing the code. I run the retraining and fine-tuning scripts on Indoor67 but got very low accuracy. I used the setting in scripts/Re-training.sh for re-training and the same setting …
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I am sincerely thankful for this shared code. I've really enjoyed the work.
While I try to reproduce your reported table, I faced an issue with the reproducibility for Stanford40-Actions (though I'…
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你好,我试着用您的代码跑cub200我发现,自己在finetune 上test集的准确率在60多epoch时就出现过拟合的现象,我想咨询您这是正常现象,还是我的训练存在问题。
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Traceback (most recent call last):
File "trainer.py", line 306, in
train()
File "trainer.py", line 57, in train
trainset = CUB200_loader(os.getcwd() + 'G:/RACNN-pytorch-master/RACNN-p…
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First of all, thanks you for a great work!
Can you upload ```train.txt``` and ```test.txt``` files for training CUB-200-2011 dataset?