Domain Adaptation on VizWiz-Classification

Metric: Accuracy - Corrupted Images (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy - Corrupted Images▼	Augmentations	Paper	Date↕	Code
1	VOLO-D5	51.8	No	VOLO: Vision Outlooker for Visual Recognition	2021-06-24	Code
2	ResNeXt-101 32x16d	48.1	Yes	Aggregated Residual Transformations for Deep Neu...	2016-11-16	Code
3	ConvNeXt-B	46.9	Yes	A ConvNet for the 2020s	2022-01-10	Code
4	EfficientNet-B8 (advprop+autoaug)	45.8	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
5	EfficientNet-B7 (advprop+autoaug)	45	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
6	EfficientNet-B6 (advprop+autoaug)	44.7	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
7	EfficientNet-B5 (advprop+autoaug)	44	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
8	ResNet-152	43.3	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
9	EfficientNet-B4 (advprop+autoaug)	42.5	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
10	ResNet-101	40.5	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
11	EfficientNet-B5 (autoaug)	39.8	No	-	-	Code
12	EfficientNet-B3 (advprop+autoaug)	39.8	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
13	EfficientNet-B6 (autoaug)	39.3	No	-	-	Code
14	ResNet-50 (gn)	39.1	No	ResNet strikes back: An improved training proced...	2021-10-01	Code
15	EfficientNet-B7 (autoaug)	39.1	No	-	-	Code
16	EfficientNet-B7 (randaug)	38.9	No	RandAugment: Practical automated data augmentati...	2019-09-30	Code
17	EfficientNet-B4 (autoaug)	38.2	No	-	-	Code
18	EfficientNet-B2 (advprop+autoaug)	38.2	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
19	ResNet-50	37.1	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
20	EfficientNet-B5	37	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
21	EfficientNet-B1 (advprop+autoaug)	36.2	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
22	ResNet-50 (augmix)	35.9	No	AugMix: A Simple Data Processing Method to Impro...	2019-12-05	Code
23	ResNet-26-D	35.8	No	Bag of Tricks for Image Classification with Conv...	2018-12-04	Code
24	ResNet-101 (lpf3)	35.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
25	EfficientNet-B4	35.6	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
26	EfficientNet-B5 (randaug)	35.5	No	RandAugment: Practical automated data augmentati...	2019-09-30	Code
27	ResNet-50 (lpf5)	35.2	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
28	ResNet-101 (lpf2)	35.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
29	EfficientNet-B3 (autoaug)	34.9	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
30	ResNet-50 (deepaugment)	34.9	No	The Many Faces of Robustness: A Critical Analysi...	2020-06-29	Code
31	ResNet-101 (lpf5)	34.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
32	EfficientNet-B2 (autoaug)	34.3	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
33	ResNet-50 (lpf3)	34.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
34	EfficientNet-B3	34.2	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
35	EfficientNet-B0 (advprop+autoaug)	34.2	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
36	ResNet-50 (deepaugment+augmix)	34.1	No	The Many Faces of Robustness: A Critical Analysi...	2020-06-29	Code
37	ResNet-50 (IN-C)	33.6	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
38	ResNet-50 (lpf2)	33.4	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
39	EfficientNet-B1 (autoaug)	32.8	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
40	ResNet-50 (IN-C_brightness)	32.5	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
41	ResNet-50 (SIN_IN)	32.5	No	ImageNet-trained CNNs are biased towards texture...	2018-11-29	Code
42	ResNet-50 (SIN_IN_IN)	32.4	No	ImageNet-trained CNNs are biased towards texture...	2018-11-29	Code
43	ResNet-34 (lpf2)	32.4	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
44	ResNet-50 (IN-C_saturate)	32.4	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
45	DenseNet-121 (lpf3)	32.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
46	DenseNet121 (lpf5)	32	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
47	ResNet-34 (lpf3)	31.9	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
48	DenseNet-121 (lpf2)	31.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
49	ResNet-50 (IN-C_spatter)	31.4	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
50	EfficientNet-B2	31.4	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
51	VGG-16 BN (lpf2)	31.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
52	VGG-16 BN	31.1	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
53	ResNet-50 (IN-C_pixelate)	30.9	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
54	EfficientNet-B1	30.9	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
55	VGG-16 BN (lpf5)	30.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
56	ResNet-50 (IN-C_contrast)	30.7	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
57	VGG-16 BN (lpf3)	30.6	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
58	MobileNetV2 (lpf3)	30.4	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
59	ResNet-50 (IN-C_jpeg_compression)	30.3	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
60	ResNet-50 (IN-C_fog_aws)	30.3	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
61	MobileNetV2 (lpf2)	30.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
62	ResNet-50 (IN-C_gaussian_noise)	30.2	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
63	ResNet-50 (IN-C_motion_blur)	30.2	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
64	ResNet-34 (lpf5)	29.9	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
65	ResNet-50 (IN-C_frost)	29.7	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
66	VGG-19 BN	29.4	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
67	MobileNetV2 (lpf5)	29.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
68	VGG-19	29	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
69	ResNet-18 (lpf2)	28.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
70	ResNet-18 (lpf3)	28.5	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
71	VGG-16	28.5	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
72	VGG-13 BN	28.3	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
73	ResNet-50 (IN-C_zoom_blur)	28.3	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
74	VGG-16 (lpf3)	28.2	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
75	VGG-16 (lpf5)	27.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
76	ResNet-18 (lpf5)	27.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
77	EfficientNet-B0	27.4	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
78	EfficientNet-B0 (autoaug)	27.3	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
79	VGG-16 (lpf2)	26.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
80	VGG-13	26.4	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
81	VGG-11 BN	25.8	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
82	VGG-11	25.2	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
83	ResNet-50 (IN-C_greyscale)	24.3	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
84	ResNet-50 (adv-train-free)	20.5	No	Adversarial Training for Free!	2019-04-29	Code
85	ResNet-50 (SIN)	20.4	No	ImageNet-trained CNNs are biased towards texture...	2018-11-29	Code
86	AlexNet (lpf5)	18.4	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
87	AlexNet (lpf2)	18.2	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
88	AlexNet (lpf3)	17.5	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code

#1VOLO-D5SOTA
51.8
Accuracy - Corrupted Images· 2021-06-24
VOLO: Vision Outlooker for Visual Recognition Code
#2ResNeXt-101 32x16dSOTA
48.1
Accuracy - Corrupted Images· Augmentations· 2016-11-16
Aggregated Residual Transformations for Deep Neural Networks Code
#3ConvNeXt-B
46.9
Accuracy - Corrupted Images· Augmentations· 2022-01-10
A ConvNet for the 2020s Code
#4EfficientNet-B8 (advprop+autoaug)
45.8
Accuracy - Corrupted Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#5EfficientNet-B7 (advprop+autoaug)
45
Accuracy - Corrupted Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#6EfficientNet-B6 (advprop+autoaug)
44.7
Accuracy - Corrupted Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#7EfficientNet-B5 (advprop+autoaug)
44
Accuracy - Corrupted Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#8ResNet-152SOTA
43.3
Accuracy - Corrupted Images· 2015-12-10
Deep Residual Learning for Image Recognition Code
#9EfficientNet-B4 (advprop+autoaug)
42.5
Accuracy - Corrupted Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#10ResNet-101
40.5
Accuracy - Corrupted Images· 2015-12-10
Deep Residual Learning for Image Recognition Code
#11EfficientNet-B5 (autoaug)
39.8
Accuracy - Corrupted Images
No paperCode
#12EfficientNet-B3 (advprop+autoaug)
39.8
Accuracy - Corrupted Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#13EfficientNet-B6 (autoaug)
39.3
Accuracy - Corrupted Images
No paperCode
#14ResNet-50 (gn)
39.1
Accuracy - Corrupted Images· 2021-10-01
ResNet strikes back: An improved training procedure in timm Code
#15EfficientNet-B7 (autoaug)
39.1
Accuracy - Corrupted Images
No paperCode
#16EfficientNet-B7 (randaug)
38.9
Accuracy - Corrupted Images· 2019-09-30
RandAugment: Practical automated data augmentation with a reduced search space Code
#17EfficientNet-B4 (autoaug)
38.2
Accuracy - Corrupted Images
No paperCode
#18EfficientNet-B2 (advprop+autoaug)
38.2
Accuracy - Corrupted Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#19ResNet-50
37.1
Accuracy - Corrupted Images· 2015-12-10
Deep Residual Learning for Image Recognition Code
#20EfficientNet-B5
37
Accuracy - Corrupted Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#21EfficientNet-B1 (advprop+autoaug)
36.2
Accuracy - Corrupted Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#22ResNet-50 (augmix)
35.9
Accuracy - Corrupted Images· 2019-12-05
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Code
#23ResNet-26-D
35.8
Accuracy - Corrupted Images· 2018-12-04
Bag of Tricks for Image Classification with Convolutional Neural Networks Code
#24ResNet-101 (lpf3)
35.7
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#25EfficientNet-B4
35.6
Accuracy - Corrupted Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#26EfficientNet-B5 (randaug)
35.5
Accuracy - Corrupted Images· 2019-09-30
RandAugment: Practical automated data augmentation with a reduced search space Code
#27ResNet-50 (lpf5)
35.2
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#28ResNet-101 (lpf2)
35.1
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#29EfficientNet-B3 (autoaug)
34.9
Accuracy - Corrupted Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#30ResNet-50 (deepaugment)
34.9
Accuracy - Corrupted Images· 2020-06-29
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Code
#31ResNet-101 (lpf5)
34.8
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#32EfficientNet-B2 (autoaug)
34.3
Accuracy - Corrupted Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#33ResNet-50 (lpf3)
34.3
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#34EfficientNet-B3
34.2
Accuracy - Corrupted Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#35EfficientNet-B0 (advprop+autoaug)
34.2
Accuracy - Corrupted Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#36ResNet-50 (deepaugment+augmix)
34.1
Accuracy - Corrupted Images· 2020-06-29
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Code
#37ResNet-50 (IN-C)
33.6
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#38ResNet-50 (lpf2)
33.4
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#39EfficientNet-B1 (autoaug)
32.8
Accuracy - Corrupted Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#40ResNet-50 (IN-C_brightness)
32.5
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#41ResNet-50 (SIN_IN)
32.5
Accuracy - Corrupted Images· 2018-11-29
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Code
#42ResNet-50 (SIN_IN_IN)
32.4
Accuracy - Corrupted Images· 2018-11-29
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Code
#43ResNet-34 (lpf2)
32.4
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#44ResNet-50 (IN-C_saturate)
32.4
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#45DenseNet-121 (lpf3)
32.3
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#46DenseNet121 (lpf5)
32
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#47ResNet-34 (lpf3)
31.9
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#48DenseNet-121 (lpf2)
31.7
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#49ResNet-50 (IN-C_spatter)
31.4
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#50EfficientNet-B2
31.4
Accuracy - Corrupted Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#51VGG-16 BN (lpf2)
31.3
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#52VGG-16 BNSOTA
31.1
Accuracy - Corrupted Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#53ResNet-50 (IN-C_pixelate)
30.9
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#54EfficientNet-B1
30.9
Accuracy - Corrupted Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#55VGG-16 BN (lpf5)
30.8
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#56ResNet-50 (IN-C_contrast)
30.7
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#57VGG-16 BN (lpf3)
30.6
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#58MobileNetV2 (lpf3)
30.4
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#59ResNet-50 (IN-C_jpeg_compression)
30.3
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#60ResNet-50 (IN-C_fog_aws)
30.3
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#61MobileNetV2 (lpf2)
30.3
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#62ResNet-50 (IN-C_gaussian_noise)
30.2
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#63ResNet-50 (IN-C_motion_blur)
30.2
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#64ResNet-34 (lpf5)
29.9
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#65ResNet-50 (IN-C_frost)
29.7
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#66VGG-19 BN
29.4
Accuracy - Corrupted Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#67MobileNetV2 (lpf5)
29.1
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#68VGG-19
29
Accuracy - Corrupted Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#69ResNet-18 (lpf2)
28.7
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#70ResNet-18 (lpf3)
28.5
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#71VGG-16
28.5
Accuracy - Corrupted Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#72VGG-13 BN
28.3
Accuracy - Corrupted Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#73ResNet-50 (IN-C_zoom_blur)
28.3
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#74VGG-16 (lpf3)
28.2
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#75VGG-16 (lpf5)
27.8
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#76ResNet-18 (lpf5)
27.7
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#77EfficientNet-B0
27.4
Accuracy - Corrupted Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#78EfficientNet-B0 (autoaug)
27.3
Accuracy - Corrupted Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#79VGG-16 (lpf2)
26.7
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#80VGG-13
26.4
Accuracy - Corrupted Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#81VGG-11 BN
25.8
Accuracy - Corrupted Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#82VGG-11
25.2
Accuracy - Corrupted Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#83ResNet-50 (IN-C_greyscale)
24.3
Accuracy - Corrupted Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#84ResNet-50 (adv-train-free)
20.5
Accuracy - Corrupted Images· 2019-04-29
Adversarial Training for Free!Code
#85ResNet-50 (SIN)
20.4
Accuracy - Corrupted Images· 2018-11-29
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Code
#86AlexNet (lpf5)
18.4
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#87AlexNet (lpf2)
18.2
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#88AlexNet (lpf3)
17.5
Accuracy - Corrupted Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code