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Thanks for good work as usual~
Take type-7 and type-12 network for example. I find that the padding of the conv layers is all 0 when training(input size: 125 output size: 121). But when tracking, the padding is set to 1 (input size: 125 output size: 125) while using the same conv parameters. Can you explain why you do like this? It is a theoretical setting(better in theory) or just a experimental result (better performance in experiments)?
The text was updated successfully, but these errors were encountered:
Thanks for good work as usual~
Take type-7 and type-12 network for example. I find that the padding of the conv layers is all 0 when training(input size: 125 output size: 121). But when tracking, the padding is set to 1 (input size: 125 output size: 125) while using the same conv parameters. Can you explain why you do like this? It is a theoretical setting(better in theory) or just a experimental result (better performance in experiments)?
The text was updated successfully, but these errors were encountered: