ABCDEFGHIJKLMNOPQRSTUVWXYZAAABACADAEAFAG
1
Publication URLDate
Baseline 1 model name
Baseline 2 model nameBaseline 3 model nameBaseline 4 model nameBaseline 5 model name
Baseline 1 top-1-error
Baseline 2 top-1-error
Baseline 3 top-1-error
Baseline 4 top-1-error
Baseline 5 top-1-error
Avg
2
https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/990_ECCV_2020_paper.php25 Mar 2020ResNet-152Inception-v4SENetGPipeNA22.22017.3015.70NA18.65
3
https://papers.nips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper 03 Dec 2012Sparse codingSIFT + FVNANANA47.145.7NANANA46.40
4
https://openreview.net/forum?id=YicbFdNTTy
5
https://openreview.net/forum?id=xTJEN-ggl1b
7
https://openreview.net/forum?id=Db4yerZTYkz28 Sep 2020ResNet-50ResNet-101ResNet-152NANA23.62221.40NANA22.00
8
https://openreview.net/forum?id=6Tm1mposlrM28 Sep 2020ResNet-101ResNet-152NANANA21.220.4NANANA20.80
9
https://arxiv.org/pdf/2201.00520v1.pdf3 Jan 2022CvT-13RegionViT-SNANANA18.417.5NANANA17.95
11
https://arxiv.org/pdf/1908.06022v5.pdf16 Aug 2019FairNAS-AMixNet-MEfficientNet B0XceptionPolyNet24.72323.7021.0018.7023.00
12
https://arxiv.org/pdf/1908.01314v4.pdf3 Mar 2020
MobileNetV2 1.0 (Sandler et al. 2018)
MobileNetV3 Large 1.0 (Howard et al. 2019)
MnasNet -A1 (Tan et al. 2019)
FBNet-B (Wu et al. 2019)
Proxyless-R Mobile (Cai, Zhu, and Han 2019)
282524.8025.9025.4025.40
13
https://arxiv.org/pdf/1906.06423v3.pdf14 Jun 2019ResNet-50-DMultiGrain R50-AA-500
MultiGrain PNASNet @ 500px
ResNeXt-101 32x48dNA20.720.616.417.80NA19.20
14
https://arxiv.org/pdf/1904.05049v3.pdf10 Apr 2019ResNeXt-101ResNet-101DenseNet-121SE-ResNet-50ResNet-20020.621.524.6022.4020.4021.50
15
https://arxiv.org/pdf/1808.00193.pdf1 Aug 2018MobileNet-v1MobileNet-v2NASNet-AAmoebaNet-APNASNet-529.425.326.0025.5025.8025.80
17
https://arxiv.org/pdf/1610.02357v3.pdf7 Oct 2016VGG-16ResNet-152Inception V3NANA28.52321.80NANA23.00
18
https://arxiv.org/pdf/1605.07648.pdf24 May 2016VGG-16ResNet-34 CNANANA28.0724.19NANANA26.13
19
https://arxiv.org/pdf/1602.07261.pdf23 Aug 2016BN-InceptionInception-v3NANANA25.2NANANANA25.20
20
https://arxiv.org/pdf/1502.01852.pdf6 Feb 2015MSRAVGG-16NANANA29.6828.07NANaNA28.88
21
https://arxiv.org/pdf/1409.1556v6.pdf4 Sep 2014
VGG (ILSVRC submission, 7 nets, dense eval.)
MSRA (He et al., 2014) (1 net)
Zeiler & Fergus (Zeiler & Fergus, 2013) (6 nets)
OverFeat (Sermanet et al., 2014) (7 nets)
Krizhevsky et al. (Krizhevsky et al., 2012) (5 nets)
24.727.936.0034.0038.136.00
22
https://arxiv.org/pdf/1406.4729v4.pdf23 Apr 2015Krizhevsky et alOverfeat (fast)Howard (base)Zeiler & Fergus (ZF) (fast)Zeiler & Fergus (ZF) (big)40.739.0137.0038.4037.5037.50
23
https://arxiv.org/pdf/1311.2901v3.pdf28 Nov 2013
(Krizhevsky et al., 2012), 1 convnet
(Krizhevsky et al., 2012), 5 convnets
(Krizhevsky et al., 2012) ∗ , 1 convnets
(Krizhevsky et al., 2012) ∗ , 7 convnets
Our replication of (Krizhevsky et al., 2012), 1 convnet
40.738.139.0036.7040.5039.00
24
https://arxiv.org/abs/2201.03545v1.abs10 Jan 2022ResNet-50Swin-TNANANA21.218.7NANANA19.95
27
https://arxiv.org/abs/2107.00652v1
28
https://arxiv.org/abs/2107.00645v1
29
https://arxiv.org/abs/2106.13112v2
30
https://arxiv.org/abs/2106.09681v217 Jun 2021EfficientNet-B5 RASwin-TRegNetY-8GFTNT-BRegNetY-16GF16.318.718.3017.2017.1017.20
31
https://arxiv.org/abs/2106.08254v115 Jun 2021ViT384DeiTNANANA22.118.2NANANA20.15
32
https://arxiv.org/abs/2106.05974v1
33
https://arxiv.org/abs/2106.04803v1
34
https://arxiv.org/abs/2106.03348v17 Jun 2021ResNet-50ViT-L/16PVT-MNANA23.323.518.80NANA23.30
35
https://arxiv.org/abs/2106.02253v24 Jun 2021ResNet-34 (Conv)ResNet-34 (SA)ResNet-50 (Conv)ResNet-50 (SA)NA26.226.824.3024.70NA25.45
36
https://arxiv.org/abs/2106.02034v1
37
https://arxiv.org/abs/2106.01548v1
38
https://arxiv.org/abs/2106.01401v1
39
https://arxiv.org/abs/2105.15075v1
40
https://arxiv.org/abs/2105.13677v3
41
https://arxiv.org/abs/2105.13343v127 May 2021ResNet-50NANANANA21.4NANANANA21.40
42
https://arxiv.org/abs/2105.12723v2
43
https://arxiv.org/abs/2105.08050v217 May 2021ResNet-152ViT-B/16Mixer-B/16NANA21.722.1023.60NANA22.10
44
https://arxiv.org/abs/2105.07926v317 May 2021DeiT-BResNet-50DeepAugmentNANA1823.924.20NANA23.90
47
https://arxiv.org/abs/2105.03889v19 May 2021ResNet-50ResNet-101RegNetY-4.0GFViT-BDeiT-S23.822.621.2022.1020.2022.10
48
https://arxiv.org/abs/2105.03404v2
49
https://arxiv.org/abs/2105.01883v15 May 2021ResNet-50RepMLP-Res50RepMLP-Res50-g8/16ResNet-101NL-Res5022.8121.4520.2420.6021.0521.05
50
https://arxiv.org/abs/2105.01601v4
51
https://arxiv.org/abs/2104.13840v328 Apr 2021RegNetY-4GRegNetY-8GDeiT-Small/16T2T-ViT-19ViT-Base/162018.320.1018.1022.1020.00
52
https://arxiv.org/abs/2104.12533v2
53
https://arxiv.org/abs/2104.10858v3
54
https://arxiv.org/abs/2104.09987v1
55
https://arxiv.org/abs/2104.05704v2
56
https://arxiv.org/abs/2104.01136v2
57
https://arxiv.org/abs/2104.00298v31 Apr 2021EfficientNet-B3ResNeSt-101ViT-B/32T2T-ViT-19T2T-ViT-2418.51726.6018.6017.8018.50
59
https://arxiv.org/abs/2103.17239v231 Mar 2021
DeiT-S and average pooling
DeiT-S and Late insertion of class embedding
DeiT-S with class-attention stage (SA+FFN)
NA20.120.020.40NANA20.25
60
https://arxiv.org/abs/2103.16302v1
61
https://arxiv.org/abs/2103.15808v1
62
https://arxiv.org/abs/2103.15358v229 Mar 2021DeiT-Small / 16NANANANA20.1NANANANA20.10
63
https://arxiv.org/abs/2103.14899v1
64
https://arxiv.org/abs/2103.14030v125 Mar 2021RegNetY-4GEffNet-B3ViT-B/16DeiT-SNA2018.422.1020.20NA20.10
65
https://arxiv.org/abs/2103.11886v422 Mar 2021ViT-16BViT-24BViT-32BNANA21.120.620.70NANA20.70
67
https://arxiv.org/abs/2103.11816v2
68
https://arxiv.org/abs/2103.10619v1
69
https://arxiv.org/abs/2103.07579v1
71
https://arxiv.org/abs/2103.00112v227 Feb 2021DeiT-SResNet-50ResNet-152RegNetY-8GFRegNetY-16GF20.223.821.7020.1019.6020.20
72
https://arxiv.org/abs/2102.08606v2
73
https://arxiv.org/abs/2102.06171v111 Feb 2021EffNet-B4BoTNet-110ResNet-50SENet-350DeIT 1000 epochs17.117.221.4014.8016.2017.10
74
https://arxiv.org/abs/2101.11986v2
75
https://arxiv.org/abs/2012.12877v223 Dec 2020ResNet-18RegNetY-4GFEfficientNet-B0EfficientNet-B5 RAViT-B/1630.22022.9016.3022.1022.10
77
https://arxiv.org/abs/2009.14082v229 Sep 2020ResNet-101
Efficient-Channel-Attention-Net-101
Attention-Augmented-ResNet-101
SENet-101
Gather-Excite-θ+-ResNet-101
23.221.421.3020.9020.7020.90
78
https://arxiv.org/abs/2006.13026v220 Jun 2020ResNet50NANANANA23.546NANANANA23.55
79
https://arxiv.org/abs/2006.11538v1
80
https://arxiv.org/abs/2005.05859v212 May 2020BigNASModel-LResNet-152MUXNet-lMobileNetV220.522.223.4028.0022.80
81
https://arxiv.org/abs/2004.08955v2
82
https://arxiv.org/abs/2003.13630v330 Mar 2020ResNet50ResNet50-DResNeXt50EfficientNetB1SEResNeXt502120.720.6620.8020.1020.70
83
https://arxiv.org/abs/2003.08237v518 Mar 2020EfficientNet B0EfficientNet B1EfficientNet B3EfficientNet B5EfficientNet B622.420.4NANANA21.40
84
https://arxiv.org/abs/2002.09024v1
85
https://arxiv.org/abs/2001.06570v2
86
https://arxiv.org/abs/1911.0425211 Nov 2019ResNet-152XceptionPolyNetAmoebaNet-AGPipe22.22118.7017.2015.7018.70
87
https://arxiv.org/abs/1903.1105926 Mar 2019NASNet-AAmoebaNet-BDARTSRENASNetPNAS26.026.026.7024.3025.8025.80
88
https://arxiv.org/abs/1807.11626v329 May 2019MobileNetV1ShuffleNet (2x)CondenseNet (G=C=8)AmoebaNet-ADARTS29.427.426.2025.5026.9026.90
89
https://arxiv.org/abs/1806.026397 Jun 20181.0 MobileNet-224NASNet-C (N = 3)CondenseNet (G1 = G3 = 8)CondenseNet (G1 = G3 = 4)NASNet-A (N = 4)29.427.529.0026.2026.0026.20
90
https://arxiv.org/abs/1802.015485 Feb 2018Incep-ResNet V2ResNeXt-101GeNet-2Block-QNN-BHierarchical19.619.127.924.320.320.30
92
https://arxiv.org/abs/1712.005592 Dec 2017MobileNet-224ShuffleNetNASNet-AResNeXt-101PolyNet29.429.12619.118.726.00
93
https://arxiv.org/abs/1709.015075 Sep 2017ResNet-50ResNet-101ResNet-152ResNeXt-50BN-Inception24.723.623.0022.2025.2023.00
94
https://arxiv.org/abs/1707.0701221 Jul 2017Inception V2Inception V3Inception ResNet V2Inception V1MobileNet-22425.221.219.9030.2029.4025.20
95
https://arxiv.org/abs/1705.0991428 May 2017ResNet-18DRN-A-18ResNet-34DRN-A-34ResNet-5030.4328.0027.7324.8124.0124.81
96
https://arxiv.org/abs/1704.0486117 Apr 2017GoogleNetVGG 16SqueezenetAlexNetNA30.228.542.5042.80NA36.35
97
https://arxiv.org/abs/1611.0543116 Nov 2016ResNet-50ResNet-101ResNeXt-50ResNeXt-101NA23.922.023.0021.70NA22.35
98
https://arxiv.org/abs/1608.0699325 Aug 2016ResNet-34ResNet-50NANANA26.223.6NANANA24.90
99
https://arxiv.org/abs/1608.022017 Aug 2016AlexNetGoogLeNetNANANA40.730.2NANANA35.45
100
https://arxiv.org/abs/1602.073604 Nov 2016AlexNetNANANANA40.7NANANANA40.70
101
https://arxiv.org/abs/1512.005672 Dec 2015GoogLeNetBN-InceptionNANANA2925.20NANANA25.20
102
https://arxiv.org/abs/1409.155610 Apr 2015MSRA (He et al., 2014)
(Zeiler & Fergus, 2013) (6 nets)
(Zeiler & Fergus, 2013) (1 net)
(Krizhevsky et al., 2012) (5 nets)
NA27.936.037.5038.1037.80
103
http://proceedings.neurips.cc/paper/2020/hash/d89a66c7c80a29b1bdbab0f2a1a94af8-Abstract.html23 Apr 2020
Cross-Entropy (baseline) ResNet-50 MixUp
Cross-Entropy (baseline) ResNet-50 CutMix
Cross-Entropy (baseline) ResNet-50 AutoAugment
Cross-Entropy (baseline) ResNet-200 AutoAugment
NA22.621.421.8019.40NA21.60
104
http://proceedings.neurips.cc/paper/2020/hash/3812f9a59b634c2a9c574610eaba5bed-Abstract.html15 Jun 2020ResNet-18Inception-V2ResNet-50HRNet-W18-CW-ResNet-5029.825.224.9023.2021.9024.90
105
http://openaccess.thecvf.com/content_CVPR_2020/html/You_GreedyNAS_Towards_Fast_One-Shot_NAS_With_Greedy_Supernet_CVPR_2020_paper.html25 Mar 2020SCARLET-CMobileNetV2 1.0MnasNet-A1Proxyless-R (mobile)SCARLET-A24.42824.8025.4023.7024.80
106
http://openaccess.thecvf.com/content_CVPR_2020/html/Radosavovic_Designing_Network_Design_Spaces_CVPR_2020_paper.html
107
http://openaccess.thecvf.com/content_CVPR_2020/html/Lu_MUXConv_Information_Multiplexing_in_Convolutional_Neural_Networks_CVPR_2020_paper.html31 Mar 2020MnasNet-A2FBNet-CEfficientNet-B0NANA24.425.123.70NANA24.40
108
http://openaccess.thecvf.com//content/CVPR2021/html/Vaswani_Scaling_Local_Self-Attention_for_Parameter_Efficient_Visual_Backbones_CVPR_2021_paper.html
109
http://openaccess.thecvf.com//content/CVPR2021/html/Srinivas_Bottleneck_Transformers_for_Visual_Recognition_CVPR_2021_paper.html
110
http://openaccess.thecvf.com//content/CVPR2021/html/Li_Involution_Inverting_the_Inherence_of_Convolution_for_Visual_Recognition_CVPR_2021_paper.html
111
http://openaccess.thecvf.com//content/CVPR2021/html/Ding_RepVGG_Making_VGG-Style_ConvNets_Great_Again_CVPR_2021_paper.html
112
http://openaccess.thecvf.com//content/CVPR2021/html/Collier_Correlated_Input-Dependent_Label_Noise_in_Large-Scale_Image_Classification_CVPR_2021_paper.html