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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2022-09-13 22:00:29 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2022-09-13 22:00:29 +0200
commit3ac94b63f3f2a8e9880958eb8c9862e0b1ffe3fd (patch)
tree16284c3b6371245dd0c68a1ceedc55fb46ae47cb /README.md
parent7bdb8005f8693938a43d6732300f1c1b17fcbc79 (diff)
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@@ -59,6 +59,7 @@ Ideas of mine that did not work unfortunately:
- Tests with various compressions did not show any performance increase compared to training directly e2e, more like decrease to be honest
- This is very unfortunate as I really hoped that this idea would work :(
- I still really like this idea, and I might not have given up just yet...
+ - I have no given up... :( ConvNext ftw
* Axial Transformer Encoder
- Added a lot of extra parameters with no gain in performance