Table 14.
model | Layer | P@5 | P@10 | P@50 | P@100 |
---|---|---|---|---|---|
VGG16 | block5_pool | 0.5995 | 0.56200 | 0.45320 | 0.387075 |
ResNet152V2 | conv4_block36_out | 0.6475 | 0.59225 | 0.45855 | 0.390225 |
DenseNet201 | conv5_block32_concat | 0.6700 | 0.62600 | 0.48390 | 0.412325 |
InceptionV3 | mixed6 | 0.6930 | 0.62975 | 0.48635 | 0.411025 |
Xception | add_10 | 0.6710 | 0.61850 | 0.47710 | 0.405100 |
InceptionResNetV2 | mixed_7a | 0.6800 | 0.63250 | 0.49500 | 0.417700 |
MobileNetV2 | block_14_add | 0.6605 | 0.60000 | 0.47100 | 0.398575 |
NASNetLarge | Normalizational_concat_12 | 0.6950 | 0.62950 | 0.49885 | 0.419425 |
EfficientNetV2L | block6y_add | 0.7365 | 0.67100 | 0.49980 | 0.419150 |
In bold the best results