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Thanks for releasing the DenseStack model! I got a quick question regarding the training recipe to achieve the 6.9 PJ shown in Table 5: to achieve such accuracy, do I need to use the complementary data in any stage of the training? I assume that since there is no marker associated with it, so it used the complementary data for pretraining and FreiHand only during fine-tuning. Could you please elaborate a bit on this? that would be super helpful.
Thanks!
The text was updated successfully, but these errors were encountered:
Hello Sean,
Thanks for releasing the DenseStack model! I got a quick question regarding the training recipe to achieve the 6.9 PJ shown in Table 5: to achieve such accuracy, do I need to use the complementary data in any stage of the training? I assume that since there is no marker associated with it, so it used the complementary data for pretraining and FreiHand only during fine-tuning. Could you please elaborate a bit on this? that would be super helpful.
Thanks!
The text was updated successfully, but these errors were encountered: