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Plotting features using UMAP #9
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Lines 119 to 122 in 9ba80c7
The network has two outputs which are
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Why is it needed to perform adaptive average pooling? To my understanding, if I were to plot features I would do the following:
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I just tried this approach, storing all these vectors
Would be glad to hear from you. Thanks! |
no reply, right? |
Hello, thanks for such a good contribution in the field, it is really a groundbreaking work.
I was trying to reproduce the plot of the features that you have in Figure 5 of the main manuscript using UMAP. How did you determine which features belong to those specific classes (building, traffic sign, pole, and vegetation)? We can determine from the output to which class each pixel belongs to, but how did you do it in the feature space? Resizing the logits back to the feature space shape, then argmax to determine the correspondence?
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