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Chauncy-Cai avatar Chauncy-Cai commented on June 24, 2024

Because during base training step, we only train base class. That's to say, no instance of novel classes is trained.
If my memory is right, during the base training stage, the classifier's shape weight is [61,1024], which means the model can't predict any novel class.

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Fly-dream12 avatar Fly-dream12 commented on June 24, 2024

Thanks. So how is the Baseline-FPN results in Table 4 calculated ? (on both base and novel classes) @Chauncy-Cai

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bsun0802 avatar bsun0802 commented on June 24, 2024

Thanks. So how is the Baseline-FPN results in Table 4 calculated ? (on both base and novel classes) @Chauncy-Cai

@Fly-dream12
Hi, we forget the reference in Table 4. We added the reference to the paper in an update to the arxiv. Please refer to the new version.

The first two lines, Baseline-FPN and MPSR, are directly coming from the paper MPSR (https://arxiv.org/abs/2007.09384). The 3rd and 4th lines are ours results. The method are different. Please refer to that paper for details.

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bsun0802 avatar bsun0802 commented on June 24, 2024

Thanks. So how is the Baseline-FPN results in Table 4 calculated ? (on both base and novel classes) @Chauncy-Cai

Clearly the base detector model can not predict novel instances. The Base AP and Novel AP are for the novel fine-tuned model. The point is, after fine-tune, which method "forget" less about base.

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