Giters

Tramac / Lightweight-Segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

mobilenetv3 backbone

pawopawo opened this issue · comments

commented

Thanks for your excellent work !

I print the shapes of c2 and c4 from here, [1, 112, 64, 128] and [1, 960, 64, 128] respectively.
image

As shown above, c2 should be 1/8 of the input, shape should be [1, 40, 128, 256]. c4 should be 1/16 of the input picture, and shape should be [1, 160, 64, 128]

In addition, layer3_setting and layer4_setting are inconsistent with those in the paper:
image

Is my understanding wrong? hope for help