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yuanli2333 avatar yuanli2333 commented on August 17, 2024 3

Hi, token labeling can improve volo_d1 by 0.4% (from 83.8% to 84.2%). For larger volo models, token labeling can achieve improvement from 0.0 to 0.4%.

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zihangJiang avatar zihangJiang commented on August 17, 2024 2

Hi @Ree1s , You can refer to zihangJiang/TokenLabeling#7 (comment) for generating token label data for your own dataset.

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yuanli2333 avatar yuanli2333 commented on August 17, 2024 1

Hi,thank you for sharing this work. If I want to use VOLO to finetune on my own dataset, how can I create my own token labeling?

If you only want to 'finetune' VOLO on your own dataset, one option is to directly use the 'class token' or mean the feature tokens without using token labeling, thus you don't need to generate your own token labels.

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monney avatar monney commented on August 17, 2024

Thank you, I think these numbers are probably worth adding to the paper as well for context.

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KleinXin avatar KleinXin commented on August 17, 2024

Hi, token labeling can improve volo_d1 by 0.4% (from 83.8% to 84.2%). For larger volo models, token labeling can achieve improvement from 0.0 to 0.4%.

Could you please also put a copy of token labeling data and pretrained models on Baidu Netdisk?

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Ree1s avatar Ree1s commented on August 17, 2024

Hi,thank you for sharing this work. If I want to use VOLO to finetune on my own dataset, how can I create my own token labeling?

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Ree1s avatar Ree1s commented on August 17, 2024

Hi @Ree1s , You can refer to zihangJiang/TokenLabeling#7 (comment) for generating token label data for your own dataset.

Thanks, and I will try on my dataset through this way mentioned.

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Ree1s avatar Ree1s commented on August 17, 2024

Hi,thank you for sharing this work. If I want to use VOLO to finetune on my own dataset, how can I create my own token labeling?

If you only want to 'finetune' VOLO on your own dataset, one option is to directly use the 'class token' or mean the feature tokens without using token labeling, thus you don't need to generate your own token labels.

I'll have a try. Thanks a lot!

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chengengliu avatar chengengliu commented on August 17, 2024

Hi,thank you for sharing this work. If I want to use VOLO to finetune on my own dataset, how can I create my own token labeling?

If you only want to 'finetune' VOLO on your own dataset, one option is to directly use the 'class token' or mean the feature tokens without using token labeling, thus you don't need to generate your own token labels.

Hi, when you say class token, do you mean configure return_mean to True the feeding parameters of VOLO?

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