Domain Adaptation on VizWiz-Classification

Metric: Accuracy - Clean Images (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy - Clean Images▼	Augmentations	Paper	Date↕	Code
1	ViT-8/B-224	450	Yes	An Image is Worth 16x16 Words: Transformers for ...	2020-10-22	Code
2	VOLO-D5	59.7	No	VOLO: Vision Outlooker for Visual Recognition	2021-06-24	Code
3	ConvNeXt-B	56	Yes	A ConvNet for the 2020s	2022-01-10	Code
4	ResNeXt-101 32x16d	54.8	Yes	Aggregated Residual Transformations for Deep Neu...	2016-11-16	Code
5	EfficientNet-B8 (advprop+autoaug)	53.2	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
6	EfficientNet-B6 (advprop+autoaug)	53.2	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
7	EfficientNet-B7 (advprop+autoaug)	52	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
8	EfficientNet-B5 (advprop+autoaug)	51.7	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
9	EfficientNet-B4 (advprop+autoaug)	51.4	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
10	ResNet-152	51.3	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
11	EfficientNet-B6 (autoaug)	50.7	No	-	-	Code
12	EfficientNet-B5 (autoaug)	50.2	No	-	-	Code
13	ResNet-101	50.1	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
14	EfficientNet-B7 (autoaug)	49.9	No	-	-	Code
15	EfficientNet-B3 (advprop+autoaug)	49.5	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
16	EfficientNet-B7 (randaug)	48.7	No	RandAugment: Practical automated data augmentati...	2019-09-30	Code
17	EfficientNet-B4 (autoaug)	48.6	No	-	-	Code
18	EfficientNet-B2 (advprop+autoaug)	48	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
19	ResNet-50	47.7	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
20	EfficientNet-B3 (autoaug)	47.5	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
21	EfficientNet-B5	47.3	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
22	EfficientNet-B5 (randaug)	47.3	No	RandAugment: Practical automated data augmentati...	2019-09-30	Code
23	EfficientNet-B1 (advprop+autoaug)	46.7	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
24	ResNet-50 (augmix)	46.4	No	AugMix: A Simple Data Processing Method to Impro...	2019-12-05	Code
25	EfficientNet-B4	46.4	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
26	ResNet-101 (lpf3)	46.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
27	ResNet-50 (deepaugment)	46	No	The Many Faces of Robustness: A Critical Analysi...	2020-06-29	Code
28	EfficientNet-B2 (autoaug)	45.8	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
29	ResNet-101 (lpf5)	45.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
30	ResNet-50 (lpf5)	45.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
31	EfficientNet-B3	45.3	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
32	ResNet-101 (lpf2)	45.2	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
33	ResNet-50 (lpf2)	45.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
34	EfficientNet-B0 (advprop+autoaug)	44.9	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
35	ResNet-50 (lpf3)	44.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
36	ResNet-50 (SIN_IN_IN)	44.6	No	ImageNet-trained CNNs are biased towards texture...	2018-11-29	Code
37	ResNet-50 (deepaugment+augmix)	44.5	No	The Many Faces of Robustness: A Critical Analysi...	2020-06-29	Code
38	ResNet-50 (gn)	44.4	No	ResNet strikes back: An improved training proced...	2021-10-01	Code
39	EfficientNet-B1 (autoaug)	44.4	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
40	ResNet-26-D	43.5	No	Bag of Tricks for Image Classification with Conv...	2018-12-04	Code
41	ResNet-50 (IN-C_brightness)	43.5	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
42	DenseNet-121 (lpf2)	43.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
43	ResNet-50 (IN-C)	42.9	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
44	ResNet-34 (lpf3)	42.9	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
45	ResNet-34 (lpf2)	42.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
46	DenseNet-121 (lpf3)	42.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
47	EfficientNet-B2	42.8	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
48	DenseNet121 (lpf5)	42.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
49	ResNet-50 (IN-C_spatter)	42.7	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
50	ResNet-50 (SIN_IN)	42.7	No	ImageNet-trained CNNs are biased towards texture...	2018-11-29	Code
51	ResNet-34 (lpf5)	42.5	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
52	ResNet-50 (IN-C_saturate)	42.4	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
53	VGG-16 BN (lpf3)	42.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
54	VGG-16 BN (lpf2)	41.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
55	VGG-16 BN (lpf5)	41.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
56	EfficientNet-B1	41.5	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
57	ResNet-50 (IN-C_pixelate)	41.4	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
58	ResNet-50 (IN-C_jpeg_compression)	41.3	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
59	VGG-16 BN	41.1	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
60	ResNet-50 (IN-C_contrast)	40.9	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
61	VGG-19 BN	40.8	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
62	ResNet-50 (IN-C_gaussian_noise)	40.6	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
63	MobileNetV2 (lpf3)	40.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
64	MobileNetV2 (lpf5)	40.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
65	ResNet-18 (lpf2)	40.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
66	EfficientNet-B0 (autoaug)	40.1	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
67	ResNet-50 (IN-C_frost)	40	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
68	VGG-16 (lpf3)	40	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
69	ResNet-50 (IN-C_fog_aws)	39.9	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
70	ResNet-50 (IN-C_motion_blur)	39.6	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
71	ResNet-18 (lpf3)	39.5	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
72	VGG-16	39.5	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
73	VGG-16 (lpf5)	39.4	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
74	VGG-19	39.3	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
75	MobileNetV2 (lpf2)	39.2	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
76	ResNet-18 (lpf5)	38.9	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
77	VGG-16 (lpf2)	38.5	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
78	EfficientNet-B0	38.4	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
79	VGG-13 BN	38.4	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
80	VGG-11 BN	37.1	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
81	ResNet-50 (IN-C_zoom_blur)	36.6	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
82	VGG-13	36.5	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
83	VGG-11	36.1	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
84	ResNet-50 (IN-C_greyscale)	34.3	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
85	ResNet-50 (adv-train-free)	30.9	No	Adversarial Training for Free!	2019-04-29	Code
86	ResNet-50 (SIN)	30	No	ImageNet-trained CNNs are biased towards texture...	2018-11-29	Code
87	AlexNet (lpf3)	26.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
88	AlexNet (lpf2)	26.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
89	AlexNet (lpf5)	26.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code

#1ViT-8/B-224SOTA
450
Accuracy - Clean Images· Augmentations· 2020-10-22
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Code
#2VOLO-D5
59.7
Accuracy - Clean Images· 2021-06-24
VOLO: Vision Outlooker for Visual Recognition Code
#3ConvNeXt-B
56
Accuracy - Clean Images· Augmentations· 2022-01-10
A ConvNet for the 2020s Code
#4ResNeXt-101 32x16dSOTA
54.8
Accuracy - Clean Images· Augmentations· 2016-11-16
Aggregated Residual Transformations for Deep Neural Networks Code
#5EfficientNet-B8 (advprop+autoaug)
53.2
Accuracy - Clean Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#6EfficientNet-B6 (advprop+autoaug)
53.2
Accuracy - Clean Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#7EfficientNet-B7 (advprop+autoaug)
52
Accuracy - Clean Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#8EfficientNet-B5 (advprop+autoaug)
51.7
Accuracy - Clean Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#9EfficientNet-B4 (advprop+autoaug)
51.4
Accuracy - Clean Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#10ResNet-152SOTA
51.3
Accuracy - Clean Images· 2015-12-10
Deep Residual Learning for Image Recognition Code
#11EfficientNet-B6 (autoaug)
50.7
Accuracy - Clean Images
No paperCode
#12EfficientNet-B5 (autoaug)
50.2
Accuracy - Clean Images
No paperCode
#13ResNet-101
50.1
Accuracy - Clean Images· 2015-12-10
Deep Residual Learning for Image Recognition Code
#14EfficientNet-B7 (autoaug)
49.9
Accuracy - Clean Images
No paperCode
#15EfficientNet-B3 (advprop+autoaug)
49.5
Accuracy - Clean Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#16EfficientNet-B7 (randaug)
48.7
Accuracy - Clean Images· 2019-09-30
RandAugment: Practical automated data augmentation with a reduced search space Code
#17EfficientNet-B4 (autoaug)
48.6
Accuracy - Clean Images
No paperCode
#18EfficientNet-B2 (advprop+autoaug)
48
Accuracy - Clean Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#19ResNet-50
47.7
Accuracy - Clean Images· 2015-12-10
Deep Residual Learning for Image Recognition Code
#20EfficientNet-B3 (autoaug)
47.5
Accuracy - Clean Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#21EfficientNet-B5
47.3
Accuracy - Clean Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#22EfficientNet-B5 (randaug)
47.3
Accuracy - Clean Images· 2019-09-30
RandAugment: Practical automated data augmentation with a reduced search space Code
#23EfficientNet-B1 (advprop+autoaug)
46.7
Accuracy - Clean Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#24ResNet-50 (augmix)
46.4
Accuracy - Clean Images· 2019-12-05
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Code
#25EfficientNet-B4
46.4
Accuracy - Clean Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#26ResNet-101 (lpf3)
46.1
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#27ResNet-50 (deepaugment)
46
Accuracy - Clean Images· 2020-06-29
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Code
#28EfficientNet-B2 (autoaug)
45.8
Accuracy - Clean Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#29ResNet-101 (lpf5)
45.8
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#30ResNet-50 (lpf5)
45.3
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#31EfficientNet-B3
45.3
Accuracy - Clean Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#32ResNet-101 (lpf2)
45.2
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#33ResNet-50 (lpf2)
45.1
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#34EfficientNet-B0 (advprop+autoaug)
44.9
Accuracy - Clean Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#35ResNet-50 (lpf3)
44.7
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#36ResNet-50 (SIN_IN_IN)
44.6
Accuracy - Clean Images· 2018-11-29
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Code
#37ResNet-50 (deepaugment+augmix)
44.5
Accuracy - Clean Images· 2020-06-29
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Code
#38ResNet-50 (gn)
44.4
Accuracy - Clean Images· 2021-10-01
ResNet strikes back: An improved training procedure in timm Code
#39EfficientNet-B1 (autoaug)
44.4
Accuracy - Clean Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#40ResNet-26-D
43.5
Accuracy - Clean Images· 2018-12-04
Bag of Tricks for Image Classification with Convolutional Neural Networks Code
#41ResNet-50 (IN-C_brightness)
43.5
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#42DenseNet-121 (lpf2)
43.1
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#43ResNet-50 (IN-C)
42.9
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#44ResNet-34 (lpf3)
42.9
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#45ResNet-34 (lpf2)
42.8
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#46DenseNet-121 (lpf3)
42.8
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#47EfficientNet-B2
42.8
Accuracy - Clean Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#48DenseNet121 (lpf5)
42.7
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#49ResNet-50 (IN-C_spatter)
42.7
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#50ResNet-50 (SIN_IN)
42.7
Accuracy - Clean Images· 2018-11-29
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Code
#51ResNet-34 (lpf5)
42.5
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#52ResNet-50 (IN-C_saturate)
42.4
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#53VGG-16 BN (lpf3)
42.1
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#54VGG-16 BN (lpf2)
41.8
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#55VGG-16 BN (lpf5)
41.7
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#56EfficientNet-B1
41.5
Accuracy - Clean Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#57ResNet-50 (IN-C_pixelate)
41.4
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#58ResNet-50 (IN-C_jpeg_compression)
41.3
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#59VGG-16 BNSOTA
41.1
Accuracy - Clean Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#60ResNet-50 (IN-C_contrast)
40.9
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#61VGG-19 BN
40.8
Accuracy - Clean Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#62ResNet-50 (IN-C_gaussian_noise)
40.6
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#63MobileNetV2 (lpf3)
40.3
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#64MobileNetV2 (lpf5)
40.1
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#65ResNet-18 (lpf2)
40.1
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#66EfficientNet-B0 (autoaug)
40.1
Accuracy - Clean Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#67ResNet-50 (IN-C_frost)
40
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#68VGG-16 (lpf3)
40
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#69ResNet-50 (IN-C_fog_aws)
39.9
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#70ResNet-50 (IN-C_motion_blur)
39.6
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#71ResNet-18 (lpf3)
39.5
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#72VGG-16
39.5
Accuracy - Clean Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#73VGG-16 (lpf5)
39.4
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#74VGG-19
39.3
Accuracy - Clean Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#75MobileNetV2 (lpf2)
39.2
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#76ResNet-18 (lpf5)
38.9
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#77VGG-16 (lpf2)
38.5
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#78EfficientNet-B0
38.4
Accuracy - Clean Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#79VGG-13 BN
38.4
Accuracy - Clean Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#80VGG-11 BN
37.1
Accuracy - Clean Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#81ResNet-50 (IN-C_zoom_blur)
36.6
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#82VGG-13
36.5
Accuracy - Clean Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#83VGG-11
36.1
Accuracy - Clean Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#84ResNet-50 (IN-C_greyscale)
34.3
Accuracy - Clean Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#85ResNet-50 (adv-train-free)
30.9
Accuracy - Clean Images· 2019-04-29
Adversarial Training for Free!Code
#86ResNet-50 (SIN)
30
Accuracy - Clean Images· 2018-11-29
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Code
#87AlexNet (lpf3)
26.8
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#88AlexNet (lpf2)
26.8
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#89AlexNet (lpf5)
26.8
Accuracy - Clean Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code