MasterBin-IIAU / Unicorn

[ECCV'22 Oral] Towards Grand Unification of Object Tracking
MIT License
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What is the experimental setting in the paper? #44

Closed fake-warrior8 closed 1 year ago

fake-warrior8 commented 1 year ago

Hi, in Sec 4.1, the paper said that Unicorn in four tasks uses the same model parameters, does this mean that the Unicorn model is trained in a multi task manner? Meanwhile, I found that in the ablation study in Sec 4.6, the four results of Unification in the Single task part of Table 7 are different from the results in Tables 1, 3, 4, 6, what is the difference between the Unification setting in Table 7 and those in Table 1,3, 4, 6?

MasterBin-IIAU commented 1 year ago

Hi, yes, Unicorn is jointly trained on datasets from four tasks and there is only one set of parameters across four tasks. Table 1, 3, 4, 6 use ConvNeXt-Large as the backbone. While we use ConvNeXt-Tiny as the backbone for ablations.

fake-warrior8 commented 1 year ago

Hi, yes, Unicorn is jointly trained on datasets from four tasks and there is only one set of parameters across four tasks. Table 1, 3, 4, 6 use ConvNeXt-Large as the backbone. While we use ConvNeXt-Tiny as the backbone for ablations.

Thank you for your reply.