Timeline for Does each filter in each convolution layer create a new image?
Current License: CC BY-SA 4.0
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| Dec 9, 2019 at 23:39 | comment | added | RocketNuts | Thanks for the link 👍 I understand what you mean about losing information by processing the channels separately (independently). But I'm having difficulty finding a universal way to combine the them into one channel. Converting to grayscale (or "luminosity" using YCbCr conversion) may work in some cases, but not if for example there is a green gat on a red background. However a 3D convolution seems like overkill? Or is it reasonable to ignore these exceptions? | |
| Dec 9, 2019 at 22:25 | review | First posts | |||
| Dec 10, 2019 at 8:25 | |||||
| Dec 9, 2019 at 22:21 | history | answered | Sahar Sela | CC BY-SA 4.0 |