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Results on object detection datasets

ESPNetv2 models

MS-COCO

s Data Image Size FLOPs (in billion) Params (in million) mAP @ 0.50:0.95 map @ 0.50 mAP @ 0.75 Link
2.0 COCO 300x300 1.1 5.81 20.80 37.05 20.36 here
2.0 COCO 512x512 3.2 5.81 24.54 42.04 25.21 here

PASCAL VOC 2007

Below table compares the results on the PASCAL VOC 2007 dataset. It is important to NOTE that we do not use COCO data for below models.

s Data Image Size FLOPs (in billion) Params (in million) mAP Link
2.0 07+12 300x300 0.9 4.75 70.27 here
2.0 07+12 512x512 2.5 4.75 75.01 here

See below for class-wise mAP

512x512 300x300
aeroplane 0.7793 0.7465
bicycle 0.8199 0.8113
bird 0.7269 0.6517
boat 0.638 0.5972
bottle 0.4414 0.3506
bus 0.8376 0.78
car 0.8416 0.7865
cat 0.8533 0.829
chair 0.5915 0.5151
cow 0.802 0.7194
diningtable 0.7317 0.722
dog 0.819 0.7653
horse 0.8575 0.8389
motorbike 0.8179 0.7986
person 0.7803 0.7214
pottedplant 0.5353 0.4697
sheep 0.7553 0.6836
sofa 0.7884 0.7414
train 0.8449 0.8073
tvmonitor 0.7407 0.7166
mAP 0.7501 0.7026