Is resnet 50 used as backbone in ICPR MTWI 2018 Challenge 2? or other

[liny23]

in ICPR MTWI 2018 Challenge 2, your result is F = 75.2， which do you select as backbone, resnet50,resnet101 or resnet152?

[whai362]

resnet 152

[whai362]

the backbone is resnet 152，i think without ic17 pretrain model is also ok，because icpr has enough images.

[liny23]

i use fpn as your done, but the result is bad. as far as you know, how much can FPN improve?

[whai362]

you can use pspnet or other common segmentation framework. the fpn is not necessary.

[whai362]

all we need is a segmentation result，kernel and the algorithm of expanding.

I mean the key idea is the kernel mechanism and expanding method，the segmentation framework is alternative.

[liny23]

all we need is a segmentation result，kernel and the algorithm of expanding.

your paper said: The backbone of PSENet is implemented from FPN, F = C(P 2 , P 3 , P 4 , P 5 ) = P 2 k Up ×2 (P 3 ) k Up ×4 (P 4 ) k Up ×8 (P 5 ). i wonder whether my result with fpn is reasonable ? is FPN helpful to improve detection result?

[whai362]

is FPN helpful to improve detection result？Yes， fpn is help to make accurate segmentation. But there are some details in the code. So if you are trying to build a psenet-like method easily，i think implement from other segmentation framework (e.g. pspnet) is also ok. But pspnet need more gpu memory，and the speed is slower.

[zzdang]

请问ICPR MTWI 2018 这个模型可以分享吗

[hetianduan]

请问ICPR MTWI 2018 这个模型可以分享吗

你好 2018模型您有了吗