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Object Detection on MS COCO (train val)

32.87APOurs
27.35828.78930.2231.651Apr 17, 2022

Evaluation results

MethodLinks
OursImages budget=40%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0432.8755.1534.5818.9935.5741.44
ENMSImages budget=40%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0432.5654.8434.2518.5335.4240.96
DivProtoImages budget=40%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0432.5354.7734.2418.5735.3441.44
EntropyImages budget=40%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0432.3654.6933.9718.6735.2540.63
Learn LossImages budget=40%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0432.3354.6133.9218.7235.3740.76
MIALImages budget=40%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0432.2754.6934.0417.7235.2741.86
OursImages budget=35%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0431.9954.1833.5118.0934.3940.54
DivProtoImages budget=35%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0431.8654.0833.4118.2434.5840.56
ENMSImages budget=35%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0431.7954.0533.2918.1134.540.14
MIALImages budget=35%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0431.7553.8933.4217.5134.641.09
CDALImages budget=40%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0431.7553.5733.3817.7534.5341.23
RandomImages budget=40%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0431.6253.2933.1817.1434.1941.26
EntropyImages budget=35%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0431.4753.5932.9518.0134.1639.76
Core-setImages budget=40%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0431.3152.8932.816.1933.8142.85
Learn LossImages budget=35%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0431.1953.1932.6717.4834.0439.23
CDALImages budget=35%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0431.1753.0732.5517.2233.8440.56
RandomImages budget=35%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0430.9952.732.4716.8833.5240.35
OursImages budget=30%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0430.953.0832.0117.5633.4439.1
ENMSImages budget=30%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0430.8252.8932.0717.433.4838.88
Core-setImages budget=35%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0430.6952.2531.9715.9633.1741.76
DivProtoImages budget=30%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0430.6452.6431.7717.2133.3738.92
EntropyImages budget=30%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0430.6152.6631.9617.4933.1338.97
Learn LossImages budget=30%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0430.5552.5331.917.6833.138.52
MIALImages budget=30%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0430.4752.4931.4516.8533.4439.31
RandomImages budget=30%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0430.0751.6131.1316.0532.4239.42
CDALImages budget=30%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0430.0151.5731.2716.2832.7239.21
Core-setImages budget=30%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0429.951.3731.1215.632.1940.65
OursImages budget=25%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0429.7851.730.8116.5232.3238
ENMSImages budget=25%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0429.7651.6430.7816.7232.1238.03
DivProtoImages budget=25%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0429.7351.4530.8416.6232.3238.08
Learn LossImages budget=25%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0429.4251.0830.3816.3531.9637.81
MIALImages budget=25%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0429.3951.2130.3615.9631.8738.68
EntropyImages budget=25%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0429.3851.0630.3116.1831.6337.89
CDALImages budget=25%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0429.1148.627.8614.2929.6935.82
RandomImages budget=25%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0428.9750.4329.8415.3931.2537.84
Core-setImages budget=25%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0428.755029.5614.5930.9838.79
RandomImages budget=20%, Backbone=ResNet-50, Detector=Faster R-CNN2022.0427.5748.8128.0914.5329.8736.12