Questions tagged [feature-maps]

For questions related to the concept of a feature map in the context of convolutional neural networks.

8 questions
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What is the difference between a receptive field and a feature map?

In a CNN, the receptive field is the portion of the image used to compute the filter's output. But one filter's output (which is also called a "feature map") is the next filter's input. What's the difference between a receptive field and a feature…
7
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2 answers

CNNs: What happens from one neuron volume to the next?

I've gone through several descriptions of CNNs online and they all leave out a crucial part as if it were trivial. A "volume" of neurons consists of several parallel layers ("feature maps"), each the result of convolving with a different…
3
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3 answers

How is the depth of a convolutional layer determined?

I am looking at a diagram of ZFNet below, in an attempt to understand how CNNs are designed. In the first layer, I understand the depth of 3 (224x224x3) is the number of color channels in the image. In the second layer, I understand the $110 \times…
1
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0 answers

What are the recommended ways to change shape of feature maps channel wise other than using Convolutional neural networks?

Suppose I have a feature map with size $C_1 \times H \times W$. And I need to convert it into a feature map of size $C_2 \times H \times W$. One way to do this is to use convolutional neural networks as Conv2d($C_1, C_2$) I want to know whether…
hanugm
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How is the depth of the filters of convolutional layers determined?

I am a bit confused about the depth of the convolutional filters in a CNN. At layer 1, there are usually about 40 3x3x3 filters. Each of these filters outputs a 2d array, so the total output of the first layer is 40 2d arrays. Does the next…
0
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2 answers

How do we combine feature maps? CNN

In Convolutional Neural Networks we extract and create abstractified “feature maps” of our given image. My thought was this: We extract things like lines initially. Then from different types of lines we are meant to extract higher order features.…
0
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0 answers

How to feed extracted features to the final detect layer of yolov5?

I am trying to feed extracted features from 23rd layer of Yolov5m to the final detect layer of yolo. I load features using np.load as features are saved np arrays. shape is 768x20x20 as you are probably aware that it can be written as (N x (3x…
0
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1 answer

combine two features in dataset?

I have a data set containing the number of security gaps and the level of that gap for a specific website. Now suppose I have 2 features in this data set, the first feature is the number of a specific security gap and the second feature is the risk…