Questions tagged [residual-networks]

For questions related to residual networks (ResNets), introduced in "Deep Residual Learning for Image Recognition" (2015) by Kaiming He et al. and that won the first place at "Large Scale Visual Recognition Challenge 2015" (ILSVRC2015).

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How many unique angles of an object do you need in your image training set in order to correctly classify it?

I'm interested in using ResNet-50 to classify images of objects for around 1000 unique classes. I'm wondering if there is any way to estimate how many unique angles I need in my training set to ...
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How to implement a (3 + 2)-dimensional convolutional layer where the 2d space is "internal"?

I am trying to train a CNN to learn 5D (kind of) data. The data is structured as follows. It has three spatial dimensions [x, y, z], but it also has two "...
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Why actual mapping is called as unreferenced mapping in this context of residual framework?

Consider the following statements from the research paper titled Deep Residual Learning for Image Recognition by Kaiming He et al. #1: We explicitly reformulate the layers as learning residual ...
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Does it make sense to apply batch normalization to a batch size of 1?

I am interested in your opinion on the topic if you think that it makes sense to use batch normalization layer in a network that is trained with a batch size of 1. This is a special case as part of an ...
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142 views

What are the benefits of Cross Stage Partial Connections over Residual Connections?

Cross Stage Partial Connections (CSPC) try to solve the next problems: Reduce the computations of the model in order to make it more suitable for edge devices. Reduce memory usage. Better ...
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How to use residual learning applied to fully connected networks?

Is there any reason why skip connections would not provide the same benefits to fully connected layers as it does for convolutional? I've read the ResNet paper and it says that the applications should ...
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1answer
22 views

What is meant by "lateral connection" in the context of neural networks?

A class of CNN is popular due to the implementation of residual connections. We can use both terms "residual connections" and "skip connections" interchangeably as they refer to ...