Questions addressing the receptive field of a convolutional neural network.
The receptive field is the size of the area of pixels that impact the output of a convolutional layer of a neural network.
Questions tagged [receptive-field]
5 questions
23
votes
6 answers
How to calculate receptive field size?
I'm reading paper about using CNN(Convolutional neural network) for object detection.
Rich feature hierarchies for accurate object detection and semantic segmentation
Here is a quote about receptive field:
The pool5 feature map is 6x6x256 = 9216…
mrgloom
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0 answers
Receptive Field in Swin Transformer
I want to ask if is it true that the receptive field of swin transformer is just in the local window where we compute the self-attention? And is there any way to increase the receptive field when using swin transformer?
I know that when we use…
killermama98
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vote
1 answer
Fully Convolutional Network Receptive Field
There are many questions regarding the calculation of the receptive field.
It is explained very well here on StackOverflow.
However, there are no blogs or tutorials on how to calculate it in fully convolutional layer i.e. with residual blocks,…
Nimbahus
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calculating the receptive field of a network
I need to calculate the receptive field of a model like this one:
Conv2D(filters=4, kernel_size=5, strides=2, padding="same"),
ReLU(),
MaxPoling2D(pool_size=2),
Conv2D(filters=8, kernel_size=3, padding="same"),
ReLU(),
GlobalAveragePooling2D(),…
Skynet
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2 answers
Receptive fields for feed forward network
I am pretty new to artificial intelligence and neural networks. I have implemented a feed-forward neural network in PyTorch for classification on the MNIST data set. Now I want to visualize the receptive fields of (a subset of) hidden neurons. But I…
Kimmen
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