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| author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2022-09-13 22:00:29 +0200 |
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| committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2022-09-13 22:00:29 +0200 |
| commit | 3ac94b63f3f2a8e9880958eb8c9862e0b1ffe3fd (patch) | |
| tree | 16284c3b6371245dd0c68a1ceedc55fb46ae47cb | |
| parent | 7bdb8005f8693938a43d6732300f1c1b17fcbc79 (diff) | |
Update README
| -rw-r--r-- | README.md | 1 |
1 files changed, 1 insertions, 0 deletions
@@ -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 |