Comments (3)
it seems BN layer is not registered, I added the following line before the end of src/layer/bn_layer.cpp:
REGISTER_LAYER_CLASS(BN)
then model is successfully compiled. hope it helps
from residual-attention-network.
Hello How to deal with problem. Thank you
from residual-attention-network.
@hackerekcah It is ok !
Thank you very much!
from residual-attention-network.
Related Issues (19)
- Hi, i am intereated in your work and want to fine-tune the model for other task, could you please share the pre-trained imagenet model? HOT 5
- Is there a tensorflow implementation of residual attention network?
- Attention visualization HOT 1
- Can you provide the trained model for me? Thank you!
- Can you release your train prototxt?
- I find some bugs when I use your caffe
- I need some help in train phase
- Visualizing the Attention Masks HOT 2
- Do you train imagenet with batch size 64 too? It goes out of memory on 1080 Ti. HOT 2
- ImageNet LSVRC 2012 dataset pre-trained imagenet model
- About mix attention
- Some bugs on your caffe HOT 1
- GPU memory HOT 15
- Confused of Interp layer HOT 2
- the difference in interp.cpp between residual-attention-network and your caffe HOT 1
- 师兄,你好!我想问一下,如果把这个结构用在场景分类上,效果会如何? HOT 1
- atomicAdd(double*, double) has already benn defined HOT 1
- solver
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from residual-attention-network.