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* Name of dataset: CARS-196
* URL of dataset: https://ai.stanford.edu/~jkrause/cars/car_dataset.html
* License of dataset: Unknown
* Short description of dataset and use case(s): The Cars dataset c…
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Thanks for releasing the code of your work. I have tested on CARS196, but I cannot achieve the performance of your public paper. The highest Recall@1 is 82.4%. I think my setting is wrong so tha…
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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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**Short description**
All labels in the test split of the `car196` dataset are `196`
![image](https://user-images.githubusercontent.com/1518919/69340488-f6a1e480-0caa-11ea-917b-d219ebe61390.png)…
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I cannot see any experiments setting for Cars-196, can you show the yaml config also?
When I use the CUB-200's yaml config to train the Cars-196(followed the paper's training split rule, 98 classes…
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Hello @wzzheng ,
I have a problem to load the cub200_2011 even cars196 dataset. Where could I repair it? Thanks
```
Traceback (most recent call last):
File "main_npair.py", line 254, in …
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```
File "F:/PhD/AML/project/HDML-master/datasets/cars196_downloader.py", line 15, in
fuel_root_path = fuel.config.config["data_path"]["yaml"]
KeyError: 'yaml'
```
what is this error?
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Hi, thank you for a great paper and code.
I have tried to run on Cars196 dataset the code where I used *MPNCOV* and *mpnconvresnet50* in Jypyter Notebook, firsly I got error in #loss.backward()#. …
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Hi @wzzheng ,
Thanks for your interesting paper and open sourcing the code.
I tried retraining with the default parameters in the FLAGS.py and with Cars196 dataset. Following are the final evalu…
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I used the code you provided to download the dataset and the following problems occurred:
Traceback (most recent call last):
File "datasets/cars196_downloader.py", line 15, in
fuel_root_path…