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CUTE22

Results

Challenge #1

Team Accuracy granularity context criteria schedule
LLF 84.9 weight global large_final dsd
EE 82.00 weight global large_final cos
NH 81.93 ? ? ? ?
LB 81.39 weight global large_final onecycle
MM 81. weight global large_final onecycle
VD 80.7 weight global large_final dsd
VS 80.7 weight global large_final lin
CF 80.1 weight local updating_movmag iterative
MEM 79 filter local large_final cos

Challenge #2

Team Accuracy loss layers weight
EE 88.2 Attention layer1,2,3,4 0.2
FR 85.6 Attention layer1,2,4.0.conv1 0.95
TR 84.9 Attention layer3,4 0.5
NH 84.62 ? ? ?
VD 84.24 SoftTarget - 1
HB 81.86 Attention layer1,2,3,4 0.25

Challenge #3

Team Accuracy granularity context criteria schedule loss layers weight
FC 84.5 weight global large_final onecycle Attention layer1,2,3,4 0.95
LLF 84.3 weight global large_final dsd Attention layer1,2,3,4 0.95
NH 83.42
EE 82.14 weight global large_final cos Attention layer1,2,3,4 0.5
VD 81.12 weight global large_final cos Attention layer1,2,3,4 0.4
MEM 79 kernel global large_final cos Attention 3,4 0.9

Challenge # 4

Team # parameters (10e6) time (ms)
NH 44.38 2.61

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