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Below are some benchmarks between new and selected previous models. As we can see the high resolution Faster R-CNN with MobileNetV3-Large FPN backbone seems a viable replacement of the equivalent ResNet50 model for those users who are willing to sacrifice few accuracy points for a 5x speed-up:



Model
mAP
Inference on CPU (sec)
# Params (M)




Faster R-CNN MobileNetV3-Large FPN (High-Res)
32.8
0.8409
19.39


Faster R-CNN MobileNetV3-Large 320 FPN (Low-Res)
22.8
0.1679
19.39


Faster R-CNN ResNet-50 FPN
37.0
4.1514
41.76


RetinaNet ResNet-50 FPN
36.4
4.8825
34.01



Implementation details