Timeline for Neural networks - Find most similar images
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Feb 15, 2018 at 10:00 | comment | added | Outcast | Hm, yes now it is more clear what you meant....This is certainly a good general suggestion: start with the basics and move on step-by-step to more complex stuff...Thanks in any case... | |
| Feb 14, 2018 at 20:17 | comment | added | zimio | It is the former suggestion, I was assuming you already had a handy way to label all of them. This is basically the most basic solution so it won't be efficient. My suggestion was that the basic model could perhaps give you enough information for you to chase a more specialized model. Looking a deep ranking seems very promising like @Gegenwind said. I have updated my answer to make it a little more clear. | |
| Feb 14, 2018 at 20:09 | history | edited | zimio | CC BY-SA 3.0 |
added 377 characters in body
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| Feb 14, 2018 at 16:50 | comment | added | Outcast | Thank you for your response (upvote). Yes, I had already data augmentation in my mind. However, your response is quite unclear. What do you mean by "have a label for each watch"? Do you mean labelling each watch individually or labelling them as a pair with another one depending on whether they are similar or not? (If it is the former then explain why this is efficient please) | |
| Feb 14, 2018 at 14:08 | review | First posts | |||
| Feb 14, 2018 at 15:09 | |||||
| Feb 14, 2018 at 14:03 | history | undeleted | zimio | ||
| Feb 14, 2018 at 14:01 | history | deleted | zimio | via Vote | |
| Feb 14, 2018 at 13:59 | history | answered | zimio | CC BY-SA 3.0 |