chinhsuanwu coatnet-pytorch issues - Githubissues

chinhsuanwu / coatnet-pytorch

A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"

https://arxiv.org/abs/2106.04803

MIT License

370 stars 67 forks source link

issues

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dots + relative positon bias having issue with dimension mismatch in Transformer Block!!!

#20 Uljibuh opened 8 months ago
0
Inconsistencies in MBConv, with corrected code provided

#19 swarajnanda2021 opened 8 months ago
3
Perhaps a nicer way to estimate the relative position

#18 swarajnanda2021 closed 9 months ago
0
the question about the parameters compare with that from paper

#17 waner1998 closed 8 months ago
0
Love from China

#16 WenzhuoXu closed 2 years ago
0
Model Pre-Trained CoAtNet

#15 calusbr opened 2 years ago
1
About the Wi-j

#14 RioLLee opened 2 years ago
0
About stochastic depth rate

#13 JiaquanYe opened 2 years ago
0
When will you push your entire code?

#10 459737087 opened 2 years ago
0
Models seem not converging.

#9 bsun0802 opened 2 years ago
1
Hello, first off, really appreciate your work!

#8 learningelectric opened 2 years ago
0
Any pretrained network for fine-tuning?

#7 yashnsn opened 2 years ago
2
About CoAtNet-6 and CoAtNet7

#6 magalhaesdavi opened 2 years ago
4
An error occurs when an image of 512 size is given as input.

#5 jeongHwarr closed 3 years ago
2
About the # params

#4 HeYDwane3 closed 3 years ago
1
About the stochastic depth

#3 JiaquanYe closed 3 years ago
2
aboult attention model

#2 mlxu995 closed 3 years ago
2
pretrained weights

#1 JIA-HONG-CHU closed 3 years ago
1