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szagoruyko avatar szagoruyko commented on July 21, 2024 3

Hi @jinyeom , thanks for your interest in DETR! the demo model was trained with an older version of the code, the hyperparameters were a bit different, on 8 nodes with batch size 1 for 700 epochs.

why does the batch size have to be 1?

It's just for simplicity, as dealing with masking would require additional code. With our baseline model (not the demo), what we observe is that if a model was trained with batch size 1, when we evaluate with more than 1 im/gpu the AP drops significantly, presumably due to boundary effects for which the model was not trained for. If we train with more than 1, and evaluate with a different number of images, including 1, there is some variation but it's not significant.

Hope this helps.

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fmassa avatar fmassa commented on July 21, 2024 2

I'm closing the issue following @szagoruyko comments, but please let us know if you have further questions!

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jinyeom avatar jinyeom commented on July 21, 2024

That definitely helped :) Thanks for the explanation!

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