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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2022-09-13 22:01:36 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2022-09-13 22:01:36 +0200
commit46c8fb98581b1a9de1ab07d1b0e9ac52f382b00c (patch)
tree0be3386157e8559e1cf872bc2c26f8bb16d98302 /README.md
parent3ac94b63f3f2a8e9880958eb8c9862e0b1ffe3fd (diff)
Update README
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@@ -59,7 +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
+ - I have now given up... :( ConvNext ftw
* Axial Transformer Encoder
- Added a lot of extra parameters with no gain in performance