| 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 |