diff --git a/tests/regression/regression_config.json b/tests/regression/regression_config.json index 66179a4e164..48dc13a20d0 100644 --- a/tests/regression/regression_config.json +++ b/tests/regression/regression_config.json @@ -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": { @@ -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": { @@ -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 } }, @@ -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 } } @@ -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": { @@ -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 } } }