V3是否有在imagenet预训练过？没有预训练的效果很差

[johsnows]

Average Precision Per-class:
aeroplane: 0.5286851217064079
bicycle: 0.5684498038841389
bird: 0.2951959818198857
boat: 0.3374119115412078
bottle: 0.11274539710602145
bus: 0.5840837968782298
car: 0.5631029936677479
cat: 0.5605063414099851
chair: 0.24291365433556902
cow: 0.2908948526148929
diningtable: 0.4292561103683377
dog: 0.47845551032801703
horse: 0.6137629939581943
motorbike: 0.6033233235496501
person: 0.5106418290063527
pottedplant: 0.13170114489968404
sheep: 0.3551660800668141
sofa: 0.4682129143642543
train: 0.6344977720902926
tvmonitor: 0.4312501217962447

Average Precision Across All Classes:0.4370128827695964

[shaoshengsong]

你试试第二个版本（https://github.com/shaoshengsong/MobileNetV3-SSD-Compact-Version），损失能降到1.9,1.8左右