IOU calculation in object detection in Convolutional Neural Network The Next CEO of Stack OverflowEpoch vs Iteration when training neural networksCalculate dimension of feature maps in convolutional neural networkTrouble understanding Convolutional Neural NetworkWhy does Convolutional network need multiple feature maps?Batch Normalization in Convolutional Neural NetworkCan a convolutional neural network be built with perceptrons?Is this basic convolution performed in ordinary convolutional neural network?Convolution neural networks — all feature maps are black(pixel value is 0)Loss functions in Convolutional neural networksCalculating the number of weights in Convolutional Neural Network using Parameter Sharing
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IOU calculation in object detection in Convolutional Neural Network
The Next CEO of Stack OverflowEpoch vs Iteration when training neural networksCalculate dimension of feature maps in convolutional neural networkTrouble understanding Convolutional Neural NetworkWhy does Convolutional network need multiple feature maps?Batch Normalization in Convolutional Neural NetworkCan a convolutional neural network be built with perceptrons?Is this basic convolution performed in ordinary convolutional neural network?Convolution neural networks — all feature maps are black(pixel value is 0)Loss functions in Convolutional neural networksCalculating the number of weights in Convolutional Neural Network using Parameter Sharing
This article explains how to calculate jump and starting point of a feature in the input image.
I like to confirm what I understood is correct.
Say a feature map layer has start pixel at 33.5 and jump is 32. So when we calculate IOU for one feature element, the IOU calculation is between 64 x 64 pixels square and Ground truth rectangle at input image. Is it correct?
tensorflow deep-learning conv-neural-network
asked Mar 7 at 15:23
batumanbatuman
2,580743111
add a comment |
This article explains how to calculate jump and starting point of a feature in the input image.
I like to confirm what I understood is correct.
Say a feature map layer has start pixel at 33.5 and jump is 32. So when we calculate IOU for one feature element, the IOU calculation is between 64 x 64 pixels square and Ground truth rectangle at input image. Is it correct?
tensorflow deep-learning conv-neural-network
asked Mar 7 at 15:23
batumanbatuman
2,580743111
add a comment |
This article explains how to calculate jump and starting point of a feature in the input image.
I like to confirm what I understood is correct.
Say a feature map layer has start pixel at 33.5 and jump is 32. So when we calculate IOU for one feature element, the IOU calculation is between 64 x 64 pixels square and Ground truth rectangle at input image. Is it correct?
tensorflow deep-learning conv-neural-network
asked Mar 7 at 15:23
batumanbatuman
2,580743111
This article explains how to calculate jump and starting point of a feature in the input image.
I like to confirm what I understood is correct.
Say a feature map layer has start pixel at 33.5 and jump is 32. So when we calculate IOU for one feature element, the IOU calculation is between 64 x 64 pixels square and Ground truth rectangle at input image. Is it correct?
tensorflow deep-learning conv-neural-network
tensorflow deep-learning conv-neural-network
asked Mar 7 at 15:23
batumanbatuman
2,580743111
asked Mar 7 at 15:23
batumanbatuman
2,580743111
asked Mar 7 at 15:23
batumanbatuman
2,580743111
asked Mar 7 at 15:23
batumanbatuman
2,580743111
asked Mar 7 at 15:23
batumanbatuman
2,580743111
2,580743111
add a comment |
add a comment |
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