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PkuRainBow avatar PkuRainBow commented on June 15, 2024

hi, I think there is something wrong with your feature test code. I have tested this model and the result can achieve 69.5 Recall@1

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PkuRainBow avatar PkuRainBow commented on June 15, 2024

@dusigh Please refer the test code here and check the possible errors . https://github.com/PkuRainBow/Hard-Aware-Deeply-Cascaded-Embedding_release/blob/master/src_code/test_stanford_products.py

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dusigh avatar dusigh commented on June 15, 2024

Could you update the data/stanford_products/test_label.dat file in the repository for the stanford_product dataset so that I can make our experiments as comparable as possible? The current one in this repository obviously has some problems: The labels are simply the sequential index: "0, 1, 2, 3, 4 ... 60498".

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PkuRainBow avatar PkuRainBow commented on June 15, 2024

@dusigh Hope this file could help you
stanford_products_test_label.zip

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dusigh avatar dusigh commented on June 15, 2024

Thank you. Yes, this version works.

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