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How can a CNN exploit knowledge about the structure of objects it needs to detect?
June 26, 2022, 11:51 a.m. | /u/Garbage-Shoddy
Computer Vision www.reddit.com
For my deep learning class I need to design a CNN that can detect Plants on a field, similar like in this video [https://www.youtube.com/watch?v=ijAfvd6S6-A](https://www.youtube.com/watch?v=ijAfvd6S6-A)
I designed a working CNN, based on transfer learning with a mobilenetV2 architecture, which works fine on the dataset. One of the questions, however, is to explain how such a CNN could exploit the (almost perfect) regular placement of plants in the field.
Do you have any ideas what my professor would like to hear …
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