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fcakir avatar fcakir commented on August 15, 2024 2

Good work! For reproducibility and comparison purposes can you clarify and give details about the zero-shot protocol (it is not clear in [28])?

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caozhangjie avatar caozhangjie commented on August 15, 2024

Our paper doesn't aims to solve Zero-Shot Retrieval Problem. We only test on this protocol and find it still outperforms other methods which also don't consider Zero-Shot Retrieval Problem. If your method aims to solve Zero-Shot Retrieval Problem, you need to evaluate your hashing method by Zero-Shot Retrieval Protocol. If your method aims to solve Hashing Problem with train and test from the same domain, you don't need to test on Zero-Shot Retrieval protocol.

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caozhangjie avatar caozhangjie commented on August 15, 2024

Just remove one class in training and use the other 99 (ImageNet for example) classes for training. Then test on that one class.

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chenshen03 avatar chenshen03 commented on August 15, 2024

In the zero-shot protocol, how is the data set divided in detail? In other words, how many samples of the unseen class dataset are selected as query dataset?
Thank you very much~

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caozhangjie avatar caozhangjie commented on August 15, 2024

I remember I randomly select out one class but forget which class. I remember I tried several times and the performance did not change much.

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