Domain Adaptation on VizWiz-Classification

Metric: Accuracy - All Images (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy - All Images▼	Augmentations	Paper	Date↕	Code
1	VOLO-D5	57.2	No	VOLO: Vision Outlooker for Visual Recognition	2021-06-24	Code
2	ConvNeXt-B	53.5	Yes	A ConvNet for the 2020s	2022-01-10	Code
3	ResNeXt-101 32x16d	51.7	Yes	Aggregated Residual Transformations for Deep Neu...	2016-11-16	Code
4	EfficientNet-B8 (advprop+autoaug)	50.5	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
5	EfficientNet-B7 (advprop+autoaug)	49.7	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
6	EfficientNet-B6 (advprop+autoaug)	49.6	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
7	EfficientNet-B5 (advprop+autoaug)	49.1	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
8	ViT-16/L-224	49	Yes	An Image is Worth 16x16 Words: Transformers for ...	2020-10-22	Code
9	ResNet-50 (gn)	48.9	No	ResNet strikes back: An improved training proced...	2021-10-01	Code
10	EfficientNet-B4 (advprop+autoaug)	48.1	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
11	ResNet-152	47.5	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
12	ResNet-101	46.3	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
13	EfficientNet-B6 (autoaug)	45.8	No	-	-	Code
14	EfficientNet-B5 (autoaug)	45.7	No	-	-	Code
15	EfficientNet-B3 (advprop+autoaug)	45.5	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
16	EfficientNet-B7 (autoaug)	45	No	-	-	Code
17	EfficientNet-B7 (randaug)	45	No	RandAugment: Practical automated data augmentati...	2019-09-30	Code
18	EfficientNet-B4 (autoaug)	44.3	No	-	-	Code
19	EfficientNet-B2 (advprop+autoaug)	44.3	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
20	ResNet-50	42.9	No	Deep Residual Learning for Image Recognition	2015-12-10	Code
21	EfficientNet-B5	42.8	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
22	EfficientNet-B3 (autoaug)	42.6	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
23	EfficientNet-B1 (advprop+autoaug)	42.4	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
24	ResNet-50 (augmix)	42.2	No	AugMix: A Simple Data Processing Method to Impro...	2019-12-05	Code
25	EfficientNet-B5 (randaug)	42.1	No	RandAugment: Practical automated data augmentati...	2019-09-30	Code
26	ResNet-101 (lpf3)	41.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
27	EfficientNet-B4	41.7	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
28	EfficientNet-B2 (autoaug)	41.6	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
29	ResNet-50 (lpf5)	41.5	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
30	ResNet-50 (deepaugment)	41.3	No	The Many Faces of Robustness: A Critical Analysi...	2020-06-29	Code
31	ResNet-101 (lpf2)	41.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
32	ResNet-101 (lpf5)	41	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
33	EfficientNet-B3	40.7	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
34	EfficientNet-B0 (advprop+autoaug)	40.5	No	Adversarial Examples Improve Image Recognition	2019-11-21	Code
35	ResNet-50 (deepaugment+augmix)	40.3	No	The Many Faces of Robustness: A Critical Analysi...	2020-06-29	Code
36	ResNet-50 (lpf2)	40.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
37	ResNet-50 (lpf3)	40	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
38	ResNet-26-D	39.7	No	Bag of Tricks for Image Classification with Conv...	2018-12-04	Code
39	EfficientNet-B1 (autoaug)	39.7	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
40	ResNet-50 (SIN_IN_IN)	39.2	No	ImageNet-trained CNNs are biased towards texture...	2018-11-29	Code
41	ResNet-50 (IN-C)	38.8	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
42	ResNet-50 (IN-C_brightness)	38.8	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
43	DenseNet121 (lpf5)	38.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
44	ResNet-34 (lpf2)	38.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
45	DenseNet-121 (lpf3)	38.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
46	ResNet-34 (lpf3)	38.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
47	DenseNet-121 (lpf2)	38.3	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
48	ResNet-50 (IN-C_spatter)	38.3	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
49	ResNet-50 (SIN_IN)	38.2	No	ImageNet-trained CNNs are biased towards texture...	2018-11-29	Code
50	ResNet-50 (IN-C_saturate)	38.2	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
51	EfficientNet-B2	38.1	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
52	ResNet-50 (IN-C_pixelate)	37.4	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
53	VGG-16 BN (lpf2)	37.2	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
54	ResNet-34 (lpf5)	37.2	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
55	VGG-16 BN (lpf5)	37	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
56	VGG-16 BN (lpf3)	36.9	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
57	VGG-16 BN	36.7	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
58	EfficientNet-B1	36.7	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
59	ResNet-50 (IN-C_contrast)	36.5	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
60	ResNet-50 (IN-C_jpeg_compression)	36.5	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
61	ResNet-50 (IN-C_gaussian_noise)	36.4	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
62	VGG-19 BN	36.2	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
63	ResNet-50 (IN-C_frost)	36.1	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
64	MobileNetV2 (lpf3)	36	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
65	ResNet-50 (IN-C_fog_aws)	35.9	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
66	MobileNetV2 (lpf5)	35.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
67	ResNet-50 (IN-C_motion_blur)	35.7	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
68	ResNet-18 (lpf3)	35.6	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
69	MobileNetV2 (lpf2)	35.5	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
70	ResNet-18 (lpf2)	35.5	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
71	VGG-16 (lpf3)	35.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
72	EfficientNet-B0 (autoaug)	34.9	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
73	VGG-19	34.7	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
74	VGG-16	34.7	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
75	ResNet-18 (lpf5)	34.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
76	VGG-16 (lpf5)	34.5	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
77	EfficientNet-B0	34.2	No	EfficientNet: Rethinking Model Scaling for Convo...	2019-05-28	Code
78	VGG-13 BN	33.7	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
79	VGG-16 (lpf2)	33.5	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
80	VGG-11 BN	32.9	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
81	ResNet-50 (IN-C_zoom_blur)	32.7	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
82	VGG-13	32.4	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
83	VGG-11	31.5	No	Very Deep Convolutional Networks for Large-Scale...	2014-09-04	Code
84	ResNet-50 (IN-C_greyscale)	30.2	No	Measuring Robustness to Natural Distribution Shi...	2020-07-01	Code
85	ResNet-50 (adv-train-free)	26.7	No	Adversarial Training for Free!	2019-04-29	Code
86	ResNet-50 (SIN)	25.3	No	ImageNet-trained CNNs are biased towards texture...	2018-11-29	Code
87	AlexNet (lpf3)	23.1	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
88	AlexNet (lpf2)	22.8	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code
89	AlexNet (lpf5)	22.7	No	Making Convolutional Networks Shift-Invariant Ag...	2019-04-25	Code

#1VOLO-D5SOTA
57.2
Accuracy - All Images· 2021-06-24
VOLO: Vision Outlooker for Visual Recognition Code
#2ConvNeXt-B
53.5
Accuracy - All Images· Augmentations· 2022-01-10
A ConvNet for the 2020s Code
#3ResNeXt-101 32x16dSOTA
51.7
Accuracy - All Images· Augmentations· 2016-11-16
Aggregated Residual Transformations for Deep Neural Networks Code
#4EfficientNet-B8 (advprop+autoaug)
50.5
Accuracy - All Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#5EfficientNet-B7 (advprop+autoaug)
49.7
Accuracy - All Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#6EfficientNet-B6 (advprop+autoaug)
49.6
Accuracy - All Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#7EfficientNet-B5 (advprop+autoaug)
49.1
Accuracy - All Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#8ViT-16/L-224
49
Accuracy - All Images· Augmentations· 2020-10-22
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Code
#9ResNet-50 (gn)
48.9
Accuracy - All Images· 2021-10-01
ResNet strikes back: An improved training procedure in timm Code
#10EfficientNet-B4 (advprop+autoaug)
48.1
Accuracy - All Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#11ResNet-152SOTA
47.5
Accuracy - All Images· 2015-12-10
Deep Residual Learning for Image Recognition Code
#12ResNet-101
46.3
Accuracy - All Images· 2015-12-10
Deep Residual Learning for Image Recognition Code
#13EfficientNet-B6 (autoaug)
45.8
Accuracy - All Images
No paperCode
#14EfficientNet-B5 (autoaug)
45.7
Accuracy - All Images
No paperCode
#15EfficientNet-B3 (advprop+autoaug)
45.5
Accuracy - All Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#16EfficientNet-B7 (autoaug)
45
Accuracy - All Images
No paperCode
#17EfficientNet-B7 (randaug)
45
Accuracy - All Images· 2019-09-30
RandAugment: Practical automated data augmentation with a reduced search space Code
#18EfficientNet-B4 (autoaug)
44.3
Accuracy - All Images
No paperCode
#19EfficientNet-B2 (advprop+autoaug)
44.3
Accuracy - All Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#20ResNet-50
42.9
Accuracy - All Images· 2015-12-10
Deep Residual Learning for Image Recognition Code
#21EfficientNet-B5
42.8
Accuracy - All Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#22EfficientNet-B3 (autoaug)
42.6
Accuracy - All Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#23EfficientNet-B1 (advprop+autoaug)
42.4
Accuracy - All Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#24ResNet-50 (augmix)
42.2
Accuracy - All Images· 2019-12-05
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Code
#25EfficientNet-B5 (randaug)
42.1
Accuracy - All Images· 2019-09-30
RandAugment: Practical automated data augmentation with a reduced search space Code
#26ResNet-101 (lpf3)
41.7
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#27EfficientNet-B4
41.7
Accuracy - All Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#28EfficientNet-B2 (autoaug)
41.6
Accuracy - All Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#29ResNet-50 (lpf5)
41.5
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#30ResNet-50 (deepaugment)
41.3
Accuracy - All Images· 2020-06-29
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Code
#31ResNet-101 (lpf2)
41.1
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#32ResNet-101 (lpf5)
41
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#33EfficientNet-B3
40.7
Accuracy - All Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#34EfficientNet-B0 (advprop+autoaug)
40.5
Accuracy - All Images· 2019-11-21
Adversarial Examples Improve Image Recognition Code
#35ResNet-50 (deepaugment+augmix)
40.3
Accuracy - All Images· 2020-06-29
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Code
#36ResNet-50 (lpf2)
40.3
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#37ResNet-50 (lpf3)
40
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#38ResNet-26-D
39.7
Accuracy - All Images· 2018-12-04
Bag of Tricks for Image Classification with Convolutional Neural Networks Code
#39EfficientNet-B1 (autoaug)
39.7
Accuracy - All Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#40ResNet-50 (SIN_IN_IN)
39.2
Accuracy - All Images· 2018-11-29
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Code
#41ResNet-50 (IN-C)
38.8
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#42ResNet-50 (IN-C_brightness)
38.8
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#43DenseNet121 (lpf5)
38.7
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#44ResNet-34 (lpf2)
38.3
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#45DenseNet-121 (lpf3)
38.3
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#46ResNet-34 (lpf3)
38.3
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#47DenseNet-121 (lpf2)
38.3
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#48ResNet-50 (IN-C_spatter)
38.3
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#49ResNet-50 (SIN_IN)
38.2
Accuracy - All Images· 2018-11-29
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Code
#50ResNet-50 (IN-C_saturate)
38.2
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#51EfficientNet-B2
38.1
Accuracy - All Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#52ResNet-50 (IN-C_pixelate)
37.4
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#53VGG-16 BN (lpf2)
37.2
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#54ResNet-34 (lpf5)
37.2
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#55VGG-16 BN (lpf5)
37
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#56VGG-16 BN (lpf3)
36.9
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#57VGG-16 BNSOTA
36.7
Accuracy - All Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#58EfficientNet-B1
36.7
Accuracy - All Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#59ResNet-50 (IN-C_contrast)
36.5
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#60ResNet-50 (IN-C_jpeg_compression)
36.5
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#61ResNet-50 (IN-C_gaussian_noise)
36.4
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#62VGG-19 BN
36.2
Accuracy - All Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#63ResNet-50 (IN-C_frost)
36.1
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#64MobileNetV2 (lpf3)
36
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#65ResNet-50 (IN-C_fog_aws)
35.9
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#66MobileNetV2 (lpf5)
35.8
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#67ResNet-50 (IN-C_motion_blur)
35.7
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#68ResNet-18 (lpf3)
35.6
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#69MobileNetV2 (lpf2)
35.5
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#70ResNet-18 (lpf2)
35.5
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#71VGG-16 (lpf3)
35.1
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#72EfficientNet-B0 (autoaug)
34.9
Accuracy - All Images· 2018-05-24
AutoAugment: Learning Augmentation Policies from Data Code
#73VGG-19
34.7
Accuracy - All Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#74VGG-16
34.7
Accuracy - All Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#75ResNet-18 (lpf5)
34.7
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#76VGG-16 (lpf5)
34.5
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#77EfficientNet-B0
34.2
Accuracy - All Images· 2019-05-28
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Code
#78VGG-13 BN
33.7
Accuracy - All Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#79VGG-16 (lpf2)
33.5
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#80VGG-11 BN
32.9
Accuracy - All Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#81ResNet-50 (IN-C_zoom_blur)
32.7
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#82VGG-13
32.4
Accuracy - All Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#83VGG-11
31.5
Accuracy - All Images· 2014-09-04
Very Deep Convolutional Networks for Large-Scale Image Recognition Code
#84ResNet-50 (IN-C_greyscale)
30.2
Accuracy - All Images· 2020-07-01
Measuring Robustness to Natural Distribution Shifts in Image Classification Code
#85ResNet-50 (adv-train-free)
26.7
Accuracy - All Images· 2019-04-29
Adversarial Training for Free!Code
#86ResNet-50 (SIN)
25.3
Accuracy - All Images· 2018-11-29
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Code
#87AlexNet (lpf3)
23.1
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#88AlexNet (lpf2)
22.8
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code
#89AlexNet (lpf5)
22.7
Accuracy - All Images· 2019-04-25
Making Convolutional Networks Shift-Invariant Again Code