Classification Models:

                    Top-1 Error    Top-5 Error       Year
AlexNet:             40.96              18.24        2014
VGG-16:              26.78              8.69         2014
ResNet-10:           34.69              14.36        2015
ResNet-18:           28.53              9.82         2015
ResNet-34:           24.84              7.80         2015
ResNet-50:           22.28              6.33         2015
InceptionV3:         21.2               5.60         2015
PreResNet-18:        28.43              9.72         2016
PreResNet-34:        24.89              7.74         2016
PreResnet-50:        22.40              6.47         2016
DenseNet-121:        23.48              7.04         2016
DenseNet-161:        22.86              6.44         2016
PyramidNet-101:      21.98              6.20         2016
ResNeXt-14:          30.32              11.46        2016
ResNeXt-26:          24.14              7.46         2016
Xception:            20.97              5.49         2016
InceptionResNetV2:   19.93              4.90         2016
MobileNet:           26.61              8.9          2017

Segmentation Models:
U-Net:              2015
Attention U-Net:    2018

Detection Models:
R-CNN:              2014
Fast R-CNN:         2015
YOLO v1:            2016
SSD:                2016
YOLO v2:            2017
Mask R-CNN:         2017
YOLO v3:            2018
YOLO v4:            2020