Why are necessary image with the same size to train a CNN model ?
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Image size consistency is necessary when training a CNN model because typical CNN architectures require input images to have the same width and height . This consistency is important for two reasons. First, it is a mandatory condition for the architecture of typical Neural Networks. Second, it is a helpful condition for successfully training the network. Handling images of varying sizes and aspect ratios during training presents several challenges, such as adapting the architecture to avoid the equal image shape limitation and how the CNN learns patterns at different sizes . Additionally, fully convolutional image classifiers show significant differences in performance when presented with the same image at different scales, indicating that each network has a preferred input size for optimal results .
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| Papers (5) | Insight |
|---|---|
| The provided paper does not explicitly mention why it is necessary for images to have the same size to train a CNN model. | |
01 Dec 2017 4 Citations | The paper does not provide an answer to the query. The provided paper is about an oversampling technique for small or medium datasets in image scoring using patch-based CNN models. |
| The paper does not provide an answer to the question of why it is necessary to use images of the same size to train a CNN model. The paper focuses on the observation that fully convolutional image classifiers show significant differences in performance when presented with the same image at different scales. It investigates the relationship between input size and model performance, but does not specifically address the necessity of using images of the same size for training. | |
| The provided paper does not directly address the question of why it is necessary for images to have the same size to train a CNN model. The paper focuses on improving the accuracy of CNN models by injecting traditional features, rather than discussing the requirements for training images. | |
| The paper does not provide an explicit answer to why images with the same size are necessary to train a CNN model. |
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