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按照博主的参数配置,在第一步80epoch训练之后只能达到69.3%的准确率,微调100epoch之后,最后准确率是80%。
问下,第一步准确率对吗?是第一步准确率低导致的第二步准确率低吗?
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I clone the project and running the code with the same hyperparameters in the paper. The recall@1 on Cub200-2011 is 63.79%, which is far from the result in paper 80.5. P.S. the model is DREML(R,12,48)…
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Hello, in Line 228 of ./trainer.py
`response_map = F.upsample(response_map, size = [resize, resize])`
maybe shoud be
`before_upsample = Variable(response_map.unsqueeze(0))`
`response_map = F.upsam…
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Hi,
Great paper. Thanks for providing pytorch code. I tried the code, but it is for distributed system. Could you clear it a little bit so that we can easily run it in any system with some GPUs? Al…
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Thanks for your great work on metric learning.
I have a question during I run the code.
I run the train code on cub200 data set, the script for the training is:
CUDA_VISIBLE_DEVICES='0' python mai…
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I have download your paper and read it. I think it is a very intesting idea and could give some help for our current reaserch. However, a question, does dataset disstillation could get high accuracy o…
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请教下,我安装了最新版的paddlepaddle_gpu-1.2.0.post85-cp27-cp27mu-linux_x86_64.whl,之后按照官网的例程(https://github.com/PaddlePaddle/models/tree/develop/fluid/PaddleCV/image_classification )尝试在一个基本网络se_resnext50上用鸟类数据集C…
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Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and…
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Hi, @dichotomies
I just tried "python train.py" on cub200, but the performance was not as good as yours.
So, I'd like to know if I have missed some details.
Thanks!
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slpal updated
5 years ago
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It is very good to keep such a repo to summarize all the metric learning related loss functions' implementation. I am wondering whether it is convenient for you to share us the evaluation results to g…