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gaopengcuhk avatar gaopengcuhk commented on June 29, 2024

Replacing multi-scale depthwise convolution with multi-scale attention mentioned in the original ICCV can improve the mAP from 43.7 => 44.4 with fewer FLOPs, faster training, and less GPU memory.

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gaopengcuhk avatar gaopengcuhk commented on June 29, 2024

We will update our ICCV submission with an explanation and results of the multi-scale bi-directional depthwise encoder.

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gaopengcuhk avatar gaopengcuhk commented on June 29, 2024

Encoder Atten=>DW
R50 43.7=>44.4
R101 44.4=>45.7

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sirius541 avatar sirius541 commented on June 29, 2024

谢谢您的回复! 您的意思是您论文的结果是使用attn做的,但是使用depthwise conv可以达到更高的精度,占用更少的计算资源是吗?

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gaopengcuhk avatar gaopengcuhk commented on June 29, 2024

thanks for your interest in our paper.

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