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Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"
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Hi, 我最近在研究label assign,实验发现使用默认设置下的AutoAssign在VOC上的表现会低于GFL 3个点以上的AP。请问你们有在VOC上尝试过吗?我使用的是mmdet官方repo中的AutoAssign,最大epoch为4,学习率下降在第3 epoch之后,这是mmdet VOC的标准设置。GFL可取得51.8的AP,但AutoAssign只能取得48.4。请问有什么超参会对性能影响较大?
Hello, thanks for your great work! Can you provide a config.py file for the training on PASCAL VOC dataset. Thanks