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Update regression test config (#2186)
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* update cls

* update seg

* fix typo
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@eunwoosh
eunwoosh authored May 24, 2023
1 parent 85ce846 commit 7d6e7cf
Showing 1 changed file with 53 additions and 53 deletions.
106 changes: 53 additions & 53 deletions tests/regression/regression_config.json
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Original file line number Diff line number Diff line change
Expand Up @@ -212,7 +212,7 @@
"pot": {
"EfficientNet-V2-S": 0.711,
"MobileNet-V3-large-1x": 0.692,
"EfficientNet-B0": 0.808
"EfficientNet-B0": 0.725
}
},
"multi_label": {
Expand Down Expand Up @@ -244,29 +244,29 @@
},
"h_label": {
"train": {
"EfficientNet-V2-S": 0.714,
"MobileNet-V3-large-1x": 0.647,
"EfficientNet-B0": 0.742
"EfficientNet-V2-S": 0.602,
"MobileNet-V3-large-1x": 0.547,
"EfficientNet-B0": 0.636
},
"export": {
"EfficientNet-V2-S": 0.714,
"MobileNet-V3-large-1x": 0.647,
"EfficientNet-B0": 0.742
"EfficientNet-V2-S": 0.602,
"MobileNet-V3-large-1x": 0.547,
"EfficientNet-B0": 0.636
},
"deploy": {
"EfficientNet-V2-S": 0.714,
"MobileNet-V3-large-1x": 0.647,
"EfficientNet-B0": 0.742
"EfficientNet-V2-S": 0.602,
"MobileNet-V3-large-1x": 0.547,
"EfficientNet-B0": 0.636
},
"nncf": {
"EfficientNet-V2-S": 0.731,
"EfficientNet-V2-S": 0.594,
"MobileNet-V3-large-1x": 0.622,
"EfficientNet-B0": 0.758
"EfficientNet-B0": 0.638
},
"pot": {
"EfficientNet-V2-S": 0.653,
"MobileNet-V3-large-1x": 0.633,
"EfficientNet-B0": 0.739
"EfficientNet-V2-S": 0.577,
"MobileNet-V3-large-1x": 0.472,
"EfficientNet-B0": 0.605
}
},
"supcon": {
Expand Down Expand Up @@ -401,33 +401,33 @@
"supervised": {
"multi_class": {
"train": {
"Lite-HRNet-s-mod2": 0.787,
"Lite-HRNet-18-mod2": 0.808,
"Lite-HRNet-s-mod2": 0.636,
"Lite-HRNet-18-mod2": 0.692,
"Lite-HRNet-18": 0.801,
"Lite-HRNet-x-mod3": 0.795
"Lite-HRNet-x-mod3": 0.693
},
"export": {
"Lite-HRNet-s-mod2": 0.786,
"Lite-HRNet-18-mod2": 0.808,
"Lite-HRNet-s-mod2": 0.636,
"Lite-HRNet-18-mod2": 0.691,
"Lite-HRNet-18": 0.8,
"Lite-HRNet-x-mod3": 0.795
"Lite-HRNet-x-mod3": 0.692
},
"deploy": {
"Lite-HRNet-s-mod2": 0.786,
"Lite-HRNet-18-mod2": 0.808,
"Lite-HRNet-s-mod2": 0.636,
"Lite-HRNet-18-mod2": 0.691,
"Lite-HRNet-18": 0.8,
"Lite-HRNet-x-mod3": 0.795
"Lite-HRNet-x-mod3": 0.692
},
"nncf": {
"Lite-HRNet-s-mod2": 0.787,
"Lite-HRNet-18-mod2": 0.8,
"Lite-HRNet-s-mod2": 0.678,
"Lite-HRNet-18-mod2": 0.707,
"Lite-HRNet-18": 0.79,
"Lite-HRNet-x-mod3": 0.779
"Lite-HRNet-x-mod3": 0.668
},
"pot": {
"Lite-HRNet-s-mod2": 0.725,
"Lite-HRNet-18-mod2": 0.087,
"Lite-HRNet-18": 0.302,
"Lite-HRNet-18-mod2": 0.269,
"Lite-HRNet-18": 0.115,
"Lite-HRNet-x-mod3": 0.041
}
},
Expand All @@ -443,19 +443,19 @@
"class_incr": {
"multi_class": {
"train": {
"Lite-HRNet-s-mod2": 0.792,
"Lite-HRNet-s-mod2": 0.660,
"Lite-HRNet-18-mod2": 0.768,
"Lite-HRNet-18": 0.795,
"Lite-HRNet-x-mod3": 0.805
"Lite-HRNet-18": 0.669,
"Lite-HRNet-x-mod3": 0.712
}
}
},
"semi_supervised": {
"multi_class": {
"train": {
"Lite-HRNet-s-mod2": 0.818,
"Lite-HRNet-18-mod2": 0.837,
"Lite-HRNet-18": 0.833,
"Lite-HRNet-s-mod2": 0.681,
"Lite-HRNet-18-mod2": 0.696,
"Lite-HRNet-18": 0.742,
"Lite-HRNet-x-mod3": 0.802
}
}
Expand Down Expand Up @@ -1498,46 +1498,46 @@
"supervised": {
"multi_class": {
"train": {
"EfficientNet-V2-S": 93.257,
"EfficientNet-V2-S": 141.137,
"MobileNet-V3-large-1x": 72.732,
"EfficientNet-B0": 70.02
"EfficientNet-B0": 82.521
}
},
"multi_label": {
"train": {
"EfficientNet-V2-S": 163.202,
"MobileNet-V3-large-1x": 148.559,
"EfficientNet-B0": 144.651
"EfficientNet-V2-S": 214.508,
"MobileNet-V3-large-1x": 185.442,
"EfficientNet-B0": 187.332
}
},
"h_label": {
"train": {
"EfficientNet-V2-S": 92.564,
"EfficientNet-V2-S": 149.627,
"MobileNet-V3-large-1x": 76.041,
"EfficientNet-B0": 73.195
"EfficientNet-B0": 87.159
}
},
"supcon": {
"train": {
"EfficientNet-V2-S": 122.369,
"MobileNet-V3-large-1x": 115.94,
"EfficientNet-B0": 105.109
"EfficientNet-V2-S": 136.036,
"MobileNet-V3-large-1x": 134.635,
"EfficientNet-B0": 124.474
}
}
},
"class_incr": {
"multi_class": {
"train": {
"EfficientNet-V2-S": 106.703,
"EfficientNet-V2-S": 141.137,
"MobileNet-V3-large-1x": 80.603,
"EfficientNet-B0": 74.543
"EfficientNet-B0": 82.521
}
},
"multi_label": {
"train": {
"EfficientNet-V2-S": 179.346,
"MobileNet-V3-large-1x": 163.404,
"EfficientNet-B0": 163.371
"EfficientNet-V2-S": 214.508,
"MobileNet-V3-large-1x": 185.442,
"EfficientNet-B0": 187.332
}
},
"h_label": {
Expand All @@ -1560,9 +1560,9 @@
"self_supervised": {
"multi_class": {
"train": {
"EfficientNet-V2-S": 34.063,
"MobileNet-V3-large-1x": 27.925,
"EfficientNet-B0": 27.623
"EfficientNet-V2-S": 141.137,
"MobileNet-V3-large-1x": 72.239,
"EfficientNet-B0": 82.521
}
}
}
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