
### Model Description
Aggregating Nested Transformers - https://arxiv.org/abs/2105.12723

BEiT - https://arxiv.org/abs/2106.08254

Big Transfer ResNetV2 (BiT) - https://arxiv.org/abs/1912.11370

Bottleneck Transformers - https://arxiv.org/abs/2101.11605

CaiT (Class-Attention in Image Transformers) - https://arxiv.org/abs/2103.17239

CoaT (Co-Scale Conv-Attentional Image Transformers) - https://arxiv.org/abs/2104.06399

CoAtNet (Convolution and Attention) - https://arxiv.org/abs/2106.04803

ConvNeXt - https://arxiv.org/abs/2201.03545

ConvNeXt-V2 - http://arxiv.org/abs/2301.00808

ConViT (Soft Convolutional Inductive Biases Vision Transformers)- https://arxiv.org/abs/2103.10697

CspNet (Cross-Stage Partial Networks) - https://arxiv.org/abs/1911.11929

DeiT - https://arxiv.org/abs/2012.12877

DeiT-III - https://arxiv.org/pdf/2204.07118.pdf

DenseNet - https://arxiv.org/abs/1608.06993

DLA - https://arxiv.org/abs/1707.06484

DPN (Dual-Path Network) - https://arxiv.org/abs/1707.01629

EdgeNeXt - https://arxiv.org/abs/2206.10589

EfficientFormer - https://arxiv.org/abs/2206.01191

EfficientNet (MBConvNet Family)

EfficientNet NoisyStudent (B0-B7, L2) - https://arxiv.org/abs/1911.04252

EfficientNet AdvProp (B0-B8) - https://arxiv.org/abs/1911.09665

EfficientNet (B0-B7) - https://arxiv.org/abs/1905.11946

EfficientNet-EdgeTPU (S, M, L) - https://ai.googleblog.com/2019/08/efficientnet-edgetpu-creating.html

EfficientNet V2 - https://arxiv.org/abs/2104.00298

FBNet-C - https://arxiv.org/abs/1812.03443

MixNet - https://arxiv.org/abs/1907.09595

MNASNet B1, A1 (Squeeze-Excite), and Small - https://arxiv.org/abs/1807.11626

MobileNet-V2 - https://arxiv.org/abs/1801.04381

Single-Path NAS - https://arxiv.org/abs/1904.02877

TinyNet - https://arxiv.org/abs/2010.14819

EVA - https://arxiv.org/abs/2211.07636

FlexiViT - https://arxiv.org/abs/2212.08013

GCViT (Global Context Vision Transformer) - https://arxiv.org/abs/2206.09959

GhostNet - https://arxiv.org/abs/1911.11907

gMLP - https://arxiv.org/abs/2105.08050

GPU-Efficient Networks - https://arxiv.org/abs/2006.14090

Halo Nets - https://arxiv.org/abs/2103.12731

HRNet - https://arxiv.org/abs/1908.07919

Inception-V3 - https://arxiv.org/abs/1512.00567

Inception-ResNet-V2 and Inception-V4 - https://arxiv.org/abs/1602.07261

Lambda Networks - https://arxiv.org/abs/2102.08602

LeViT (Vision Transformer in ConvNet's Clothing) - https://arxiv.org/abs/2104.01136

MaxViT (Multi-Axis Vision Transformer) - https://arxiv.org/abs/2204.01697

MLP-Mixer - https://arxiv.org/abs/2105.01601

MobileNet-V3 (MBConvNet w/ Efficient Head) - https://arxiv.org/abs/1905.02244

FBNet-V3 - https://arxiv.org/abs/2006.02049

HardCoRe-NAS - https://arxiv.org/abs/2102.11646

LCNet - https://arxiv.org/abs/2109.15099

MobileViT - https://arxiv.org/abs/2110.02178

MobileViT-V2 - https://arxiv.org/abs/2206.02680

MViT-V2 (Improved Multiscale Vision Transformer) - https://arxiv.org/abs/2112.01526

NASNet-A - https://arxiv.org/abs/1707.07012

NesT - https://arxiv.org/abs/2105.12723

NFNet-F - https://arxiv.org/abs/2102.06171

NF-RegNet / NF-ResNet - https://arxiv.org/abs/2101.08692

PNasNet - https://arxiv.org/abs/1712.00559

PoolFormer (MetaFormer) - https://arxiv.org/abs/2111.11418

Pooling-based Vision Transformer (PiT) - https://arxiv.org/abs/2103.16302

PVT-V2 (Improved Pyramid Vision Transformer) - https://arxiv.org/abs/2106.13797

RegNet - https://arxiv.org/abs/2003.13678

RegNetZ - https://arxiv.org/abs/2103.06877

RepVGG - https://arxiv.org/abs/2101.03697

ResMLP - https://arxiv.org/abs/2105.03404

ResNet/ResNeXt

ResNet (v1b/v1.5) - https://arxiv.org/abs/1512.03385

ResNeXt - https://arxiv.org/abs/1611.05431

'Bag of Tricks' / Gluon C, D, E, S variations - https://arxiv.org/abs/1812.01187

Weakly-supervised (WSL) Instagram pretrained / ImageNet tuned ResNeXt101 - https://arxiv.org/abs/1805.00932

Semi-supervised (SSL) / Semi-weakly Supervised (SWSL) ResNet/ResNeXts - https://arxiv.org/abs/1905.00546

ECA-Net (ECAResNet) - https://arxiv.org/abs/1910.03151v4

Squeeze-and-Excitation Networks (SEResNet) - https://arxiv.org/abs/1709.01507

ResNet-RS - https://arxiv.org/abs/2103.07579

Res2Net - https://arxiv.org/abs/1904.01169

ResNeSt - https://arxiv.org/abs/2004.08955

ReXNet - https://arxiv.org/abs/2007.00992

SelecSLS - https://arxiv.org/abs/1907.00837

Selective Kernel Networks - https://arxiv.org/abs/1903.06586

Sequencer2D - https://arxiv.org/abs/2205.01972

Swin S3 (AutoFormerV2) - https://arxiv.org/abs/2111.14725

Swin Transformer - https://arxiv.org/abs/2103.14030

Swin Transformer V2 - https://arxiv.org/abs/2111.09883

Transformer-iN-Transformer (TNT) - https://arxiv.org/abs/2103.00112

TResNet - https://arxiv.org/abs/2003.13630

Twins (Spatial Attention in Vision Transformers) - https://arxiv.org/abs/2104.13840

Visformer - https://arxiv.org/abs/2104.12533

Vision Transformer - https://arxiv.org/abs/2010.11929

VOLO (Vision Outlooker) - https://arxiv.org/abs/2106.13112

VovNet V2 and V1 - https://arxiv.org/abs/1911.06667

Xception - https://arxiv.org/abs/1610.02357

Xception (Modified Aligned, Gluon) - https://arxiv.org/abs/1802.02611

Xception (Modified Aligned, TF) - https://arxiv.org/abs/1802.02611

XCiT (Cross-Covariance Image Transformers) - https://arxiv.org/abs/2106.09681

### Installation
```
pip install classifyhub
```

### ClassifyHub(Timm) Usage
```python
from classifyhub import Predictor

model = ClassifyPredictor("resnet18")
model.predict("data/plane.jpg")
```
{"language": ["en"], "license": "apache-2.0", "tags": ["object-detection", "computer-vision", "object-classification"]}
object-detection computer-vision object-classification en arxiv:2105.12723 arxiv:2106.08254 arxiv:1912.11370 arxiv:2101.11605 arxiv:2103.17239 arxiv:2104.06399 arxiv:2106.04803 arxiv:2201.03545 arxiv:2301.00808 arxiv:2103.10697 arxiv:1911.11929 arxiv:2012.12877 arxiv:2204.07118 arxiv:1608.06993 arxiv:1707.06484 arxiv:1707.01629 arxiv:2206.10589 arxiv:2206.01191 arxiv:1911.04252 arxiv:1911.09665 arxiv:1905.11946 arxiv:2104.00298 arxiv:1812.03443 arxiv:1907.09595 arxiv:1807.11626 arxiv:1801.04381 arxiv:1904.02877 arxiv:2010.14819 arxiv:2211.07636 arxiv:2212.08013 arxiv:2206.09959 arxiv:1911.11907 arxiv:2105.08050 arxiv:2006.14090 arxiv:2103.12731 arxiv:1908.07919 arxiv:1512.00567 arxiv:1602.07261 arxiv:2102.08602 arxiv:2104.01136 arxiv:2204.01697 arxiv:2105.01601 arxiv:1905.02244 arxiv:2006.02049 arxiv:2102.11646 arxiv:2109.15099 arxiv:2110.02178 arxiv:2206.02680 arxiv:2112.01526 arxiv:1707.07012 arxiv:2102.06171 arxiv:2101.08692 arxiv:1712.00559 arxiv:2111.11418 arxiv:2103.16302 arxiv:2106.13797 arxiv:2003.13678 arxiv:2103.06877 arxiv:2101.03697 arxiv:2105.03404 arxiv:1512.03385 arxiv:1611.05431 arxiv:1812.01187 arxiv:1805.00932 arxiv:1905.00546 arxiv:1910.03151 arxiv:1709.01507 arxiv:2103.07579 arxiv:1904.01169 arxiv:2004.08955 arxiv:2007.00992 arxiv:1907.00837 arxiv:1903.06586 arxiv:2205.01972 arxiv:2111.14725 arxiv:2103.14030 arxiv:2111.09883 arxiv:2103.00112 arxiv:2003.13630 arxiv:2104.13840 arxiv:2104.12533 arxiv:2010.11929 arxiv:2106.13112 arxiv:1911.06667 arxiv:1610.02357 arxiv:1802.02611 arxiv:2106.09681 license:apache-2.0 has_space region:us
TAGS
#object-detection #computer-vision #object-classification #en #arxiv-2105.12723 #arxiv-2106.08254 #arxiv-1912.11370 #arxiv-2101.11605 #arxiv-2103.17239 #arxiv-2104.06399 #arxiv-2106.04803 #arxiv-2201.03545 #arxiv-2301.00808 #arxiv-2103.10697 #arxiv-1911.11929 #arxiv-2012.12877 #arxiv-2204.07118 #arxiv-1608.06993 #arxiv-1707.06484 #arxiv-1707.01629 #arxiv-2206.10589 #arxiv-2206.01191 #arxiv-1911.04252 #arxiv-1911.09665 #arxiv-1905.11946 #arxiv-2104.00298 #arxiv-1812.03443 #arxiv-1907.09595 #arxiv-1807.11626 #arxiv-1801.04381 #arxiv-1904.02877 #arxiv-2010.14819 #arxiv-2211.07636 #arxiv-2212.08013 #arxiv-2206.09959 #arxiv-1911.11907 #arxiv-2105.08050 #arxiv-2006.14090 #arxiv-2103.12731 #arxiv-1908.07919 #arxiv-1512.00567 #arxiv-1602.07261 #arxiv-2102.08602 #arxiv-2104.01136 #arxiv-2204.01697 #arxiv-2105.01601 #arxiv-1905.02244 #arxiv-2006.02049 #arxiv-2102.11646 #arxiv-2109.15099 #arxiv-2110.02178 #arxiv-2206.02680 #arxiv-2112.01526 #arxiv-1707.07012 #arxiv-2102.06171 #arxiv-2101.08692 #arxiv-1712.00559 #arxiv-2111.11418 #arxiv-2103.16302 #arxiv-2106.13797 #arxiv-2003.13678 #arxiv-2103.06877 #arxiv-2101.03697 #arxiv-2105.03404 #arxiv-1512.03385 #arxiv-1611.05431 #arxiv-1812.01187 #arxiv-1805.00932 #arxiv-1905.00546 #arxiv-1910.03151 #arxiv-1709.01507 #arxiv-2103.07579 #arxiv-1904.01169 #arxiv-2004.08955 #arxiv-2007.00992 #arxiv-1907.00837 #arxiv-1903.06586 #arxiv-2205.01972 #arxiv-2111.14725 #arxiv-2103.14030 #arxiv-2111.09883 #arxiv-2103.00112 #arxiv-2003.13630 #arxiv-2104.13840 #arxiv-2104.12533 #arxiv-2010.11929 #arxiv-2106.13112 #arxiv-1911.06667 #arxiv-1610.02357 #arxiv-1802.02611 #arxiv-2106.09681 #license-apache-2.0 #has_space #region-us 


### Model Description
Aggregating Nested Transformers - URL

BEiT - URL

Big Transfer ResNetV2 (BiT) - URL

Bottleneck Transformers - URL

CaiT (Class-Attention in Image Transformers) - URL

CoaT (Co-Scale Conv-Attentional Image Transformers) - URL

CoAtNet (Convolution and Attention) - URL

ConvNeXt - URL

ConvNeXt-V2 - URL

ConViT (Soft Convolutional Inductive Biases Vision Transformers)- URL

CspNet (Cross-Stage Partial Networks) - URL

DeiT - URL

DeiT-III - URL

DenseNet - URL

DLA - URL

DPN (Dual-Path Network) - URL

EdgeNeXt - URL

EfficientFormer - URL

EfficientNet (MBConvNet Family)

EfficientNet NoisyStudent (B0-B7, L2) - URL

EfficientNet AdvProp (B0-B8) - URL

EfficientNet (B0-B7) - URL

EfficientNet-EdgeTPU (S, M, L) - URL

EfficientNet V2 - URL

FBNet-C - URL

MixNet - URL

MNASNet B1, A1 (Squeeze-Excite), and Small - URL

MobileNet-V2 - URL

Single-Path NAS - URL

TinyNet - URL

EVA - URL

FlexiViT - URL

GCViT (Global Context Vision Transformer) - URL

GhostNet - URL

gMLP - URL

GPU-Efficient Networks - URL

Halo Nets - URL

HRNet - URL

Inception-V3 - URL

Inception-ResNet-V2 and Inception-V4 - URL

Lambda Networks - URL

LeViT (Vision Transformer in ConvNet's Clothing) - URL

MaxViT (Multi-Axis Vision Transformer) - URL

MLP-Mixer - URL

MobileNet-V3 (MBConvNet w/ Efficient Head) - URL

FBNet-V3 - URL

HardCoRe-NAS - URL

LCNet - URL

MobileViT - URL

MobileViT-V2 - URL

MViT-V2 (Improved Multiscale Vision Transformer) - URL

NASNet-A - URL

NesT - URL

NFNet-F - URL

NF-RegNet / NF-ResNet - URL

PNasNet - URL

PoolFormer (MetaFormer) - URL

Pooling-based Vision Transformer (PiT) - URL

PVT-V2 (Improved Pyramid Vision Transformer) - URL

RegNet - URL

RegNetZ - URL

RepVGG - URL

ResMLP - URL

ResNet/ResNeXt

ResNet (v1b/v1.5) - URL

ResNeXt - URL

'Bag of Tricks' / Gluon C, D, E, S variations - URL

Weakly-supervised (WSL) Instagram pretrained / ImageNet tuned ResNeXt101 - URL

Semi-supervised (SSL) / Semi-weakly Supervised (SWSL) ResNet/ResNeXts - URL

ECA-Net (ECAResNet) - URL

Squeeze-and-Excitation Networks (SEResNet) - URL

ResNet-RS - URL

Res2Net - URL

ResNeSt - URL

ReXNet - URL

SelecSLS - URL

Selective Kernel Networks - URL

Sequencer2D - URL

Swin S3 (AutoFormerV2) - URL

Swin Transformer - URL

Swin Transformer V2 - URL

Transformer-iN-Transformer (TNT) - URL

TResNet - URL

Twins (Spatial Attention in Vision Transformers) - URL

Visformer - URL

Vision Transformer - URL

VOLO (Vision Outlooker) - URL

VovNet V2 and V1 - URL

Xception - URL

Xception (Modified Aligned, Gluon) - URL

Xception (Modified Aligned, TF) - URL

XCiT (Cross-Covariance Image Transformers) - URL

### Installation


### ClassifyHub(Timm) Usage

### Model Description
Aggregating Nested Transformers - URL

BEiT - URL

Big Transfer ResNetV2 (BiT) - URL

Bottleneck Transformers - URL

CaiT (Class-Attention in Image Transformers) - URL

CoaT (Co-Scale Conv-Attentional Image Transformers) - URL

CoAtNet (Convolution and Attention) - URL

ConvNeXt - URL

ConvNeXt-V2 - URL

ConViT (Soft Convolutional Inductive Biases Vision Transformers)- URL

CspNet (Cross-Stage Partial Networks) - URL

DeiT - URL

DeiT-III - URL

DenseNet - URL

DLA - URL

DPN (Dual-Path Network) - URL

EdgeNeXt - URL

EfficientFormer - URL

EfficientNet (MBConvNet Family)

EfficientNet NoisyStudent (B0-B7, L2) - URL

EfficientNet AdvProp (B0-B8) - URL

EfficientNet (B0-B7) - URL

EfficientNet-EdgeTPU (S, M, L) - URL

EfficientNet V2 - URL

FBNet-C - URL

MixNet - URL

MNASNet B1, A1 (Squeeze-Excite), and Small - URL

MobileNet-V2 - URL

Single-Path NAS - URL

TinyNet - URL

EVA - URL

FlexiViT - URL

GCViT (Global Context Vision Transformer) - URL

GhostNet - URL

gMLP - URL

GPU-Efficient Networks - URL

Halo Nets - URL

HRNet - URL

Inception-V3 - URL

Inception-ResNet-V2 and Inception-V4 - URL

Lambda Networks - URL

LeViT (Vision Transformer in ConvNet's Clothing) - URL

MaxViT (Multi-Axis Vision Transformer) - URL

MLP-Mixer - URL

MobileNet-V3 (MBConvNet w/ Efficient Head) - URL

FBNet-V3 - URL

HardCoRe-NAS - URL

LCNet - URL

MobileViT - URL

MobileViT-V2 - URL

MViT-V2 (Improved Multiscale Vision Transformer) - URL

NASNet-A - URL

NesT - URL

NFNet-F - URL

NF-RegNet / NF-ResNet - URL

PNasNet - URL

PoolFormer (MetaFormer) - URL

Pooling-based Vision Transformer (PiT) - URL

PVT-V2 (Improved Pyramid Vision Transformer) - URL

RegNet - URL

RegNetZ - URL

RepVGG - URL

ResMLP - URL

ResNet/ResNeXt

ResNet (v1b/v1.5) - URL

ResNeXt - URL

'Bag of Tricks' / Gluon C, D, E, S variations - URL

Weakly-supervised (WSL) Instagram pretrained / ImageNet tuned ResNeXt101 - URL

Semi-supervised (SSL) / Semi-weakly Supervised (SWSL) ResNet/ResNeXts - URL

ECA-Net (ECAResNet) - URL

Squeeze-and-Excitation Networks (SEResNet) - URL

ResNet-RS - URL

Res2Net - URL

ResNeSt - URL

ReXNet - URL

SelecSLS - URL

Selective Kernel Networks - URL

Sequencer2D - URL

Swin S3 (AutoFormerV2) - URL

Swin Transformer - URL

Swin Transformer V2 - URL

Transformer-iN-Transformer (TNT) - URL

TResNet - URL

Twins (Spatial Attention in Vision Transformers) - URL

Visformer - URL

Vision Transformer - URL

VOLO (Vision Outlooker) - URL

VovNet V2 and V1 - URL

Xception - URL

Xception (Modified Aligned, Gluon) - URL

Xception (Modified Aligned, TF) - URL

XCiT (Cross-Covariance Image Transformers) - URL ### Installation ### ClassifyHub(Timm) Usage
TAGS
#object-detection #computer-vision #object-classification #en #arxiv-2105.12723 #arxiv-2106.08254 #arxiv-1912.11370 #arxiv-2101.11605 #arxiv-2103.17239 #arxiv-2104.06399 #arxiv-2106.04803 #arxiv-2201.03545 #arxiv-2301.00808 #arxiv-2103.10697 #arxiv-1911.11929 #arxiv-2012.12877 #arxiv-2204.07118 #arxiv-1608.06993 #arxiv-1707.06484 #arxiv-1707.01629 #arxiv-2206.10589 #arxiv-2206.01191 #arxiv-1911.04252 #arxiv-1911.09665 #arxiv-1905.11946 #arxiv-2104.00298 #arxiv-1812.03443 #arxiv-1907.09595 #arxiv-1807.11626 #arxiv-1801.04381 #arxiv-1904.02877 #arxiv-2010.14819 #arxiv-2211.07636 #arxiv-2212.08013 #arxiv-2206.09959 #arxiv-1911.11907 #arxiv-2105.08050 #arxiv-2006.14090 #arxiv-2103.12731 #arxiv-1908.07919 #arxiv-1512.00567 #arxiv-1602.07261 #arxiv-2102.08602 #arxiv-2104.01136 #arxiv-2204.01697 #arxiv-2105.01601 #arxiv-1905.02244 #arxiv-2006.02049 #arxiv-2102.11646 #arxiv-2109.15099 #arxiv-2110.02178 #arxiv-2206.02680 #arxiv-2112.01526 #arxiv-1707.07012 #arxiv-2102.06171 #arxiv-2101.08692 #arxiv-1712.00559 #arxiv-2111.11418 #arxiv-2103.16302 #arxiv-2106.13797 #arxiv-2003.13678 #arxiv-2103.06877 #arxiv-2101.03697 #arxiv-2105.03404 #arxiv-1512.03385 #arxiv-1611.05431 #arxiv-1812.01187 #arxiv-1805.00932 #arxiv-1905.00546 #arxiv-1910.03151 #arxiv-1709.01507 #arxiv-2103.07579 #arxiv-1904.01169 #arxiv-2004.08955 #arxiv-2007.00992 #arxiv-1907.00837 #arxiv-1903.06586 #arxiv-2205.01972 #arxiv-2111.14725 #arxiv-2103.14030 #arxiv-2111.09883 #arxiv-2103.00112 #arxiv-2003.13630 #arxiv-2104.13840 #arxiv-2104.12533 #arxiv-2010.11929 #arxiv-2106.13112 #arxiv-1911.06667 #arxiv-1610.02357 #arxiv-1802.02611 #arxiv-2106.09681 #license-apache-2.0 #has_space #region-us 
 ### Model Description
Aggregating Nested Transformers - URL

BEiT - URL

Big Transfer ResNetV2 (BiT) - URL

Bottleneck Transformers - URL

CaiT (Class-Attention in Image Transformers) - URL

CoaT (Co-Scale Conv-Attentional Image Transformers) - URL

CoAtNet (Convolution and Attention) - URL

ConvNeXt - URL

ConvNeXt-V2 - URL

ConViT (Soft Convolutional Inductive Biases Vision Transformers)- URL

CspNet (Cross-Stage Partial Networks) - URL

DeiT - URL

DeiT-III - URL

DenseNet - URL

DLA - URL

DPN (Dual-Path Network) - URL

EdgeNeXt - URL

EfficientFormer - URL

EfficientNet (MBConvNet Family)

EfficientNet NoisyStudent (B0-B7, L2) - URL

EfficientNet AdvProp (B0-B8) - URL

EfficientNet (B0-B7) - URL

EfficientNet-EdgeTPU (S, M, L) - URL

EfficientNet V2 - URL

FBNet-C - URL

MixNet - URL

MNASNet B1, A1 (Squeeze-Excite), and Small - URL

MobileNet-V2 - URL

Single-Path NAS - URL

TinyNet - URL

EVA - URL

FlexiViT - URL

GCViT (Global Context Vision Transformer) - URL

GhostNet - URL

gMLP - URL

GPU-Efficient Networks - URL

Halo Nets - URL

HRNet - URL

Inception-V3 - URL

Inception-ResNet-V2 and Inception-V4 - URL

Lambda Networks - URL

LeViT (Vision Transformer in ConvNet's Clothing) - URL

MaxViT (Multi-Axis Vision Transformer) - URL

MLP-Mixer - URL

MobileNet-V3 (MBConvNet w/ Efficient Head) - URL

FBNet-V3 - URL

HardCoRe-NAS - URL

LCNet - URL

MobileViT - URL

MobileViT-V2 - URL

MViT-V2 (Improved Multiscale Vision Transformer) - URL

NASNet-A - URL

NesT - URL

NFNet-F - URL

NF-RegNet / NF-ResNet - URL

PNasNet - URL

PoolFormer (MetaFormer) - URL

Pooling-based Vision Transformer (PiT) - URL

PVT-V2 (Improved Pyramid Vision Transformer) - URL

RegNet - URL

RegNetZ - URL

RepVGG - URL

ResMLP - URL

ResNet/ResNeXt

ResNet (v1b/v1.5) - URL

ResNeXt - URL

'Bag of Tricks' / Gluon C, D, E, S variations - URL

Weakly-supervised (WSL) Instagram pretrained / ImageNet tuned ResNeXt101 - URL

Semi-supervised (SSL) / Semi-weakly Supervised (SWSL) ResNet/ResNeXts - URL

ECA-Net (ECAResNet) - URL

Squeeze-and-Excitation Networks (SEResNet) - URL

ResNet-RS - URL

Res2Net - URL

ResNeSt - URL

ReXNet - URL

SelecSLS - URL

Selective Kernel Networks - URL

Sequencer2D - URL

Swin S3 (AutoFormerV2) - URL

Swin Transformer - URL

Swin Transformer V2 - URL

Transformer-iN-Transformer (TNT) - URL

TResNet - URL

Twins (Spatial Attention in Vision Transformers) - URL

Visformer - URL

Vision Transformer - URL

VOLO (Vision Outlooker) - URL

VovNet V2 and V1 - URL

Xception - URL

Xception (Modified Aligned, Gluon) - URL

Xception (Modified Aligned, TF) - URL

XCiT (Cross-Covariance Image Transformers) - URL ### Installation ### ClassifyHub(Timm) Usage
TAGS
#object-detection #computer-vision #object-classification #en #arxiv-2105.12723 #arxiv-2106.08254 #arxiv-1912.11370 #arxiv-2101.11605 #arxiv-2103.17239 #arxiv-2104.06399 #arxiv-2106.04803 #arxiv-2201.03545 #arxiv-2301.00808 #arxiv-2103.10697 #arxiv-1911.11929 #arxiv-2012.12877 #arxiv-2204.07118 #arxiv-1608.06993 #arxiv-1707.06484 #arxiv-1707.01629 #arxiv-2206.10589 #arxiv-2206.01191 #arxiv-1911.04252 #arxiv-1911.09665 #arxiv-1905.11946 #arxiv-2104.00298 #arxiv-1812.03443 #arxiv-1907.09595 #arxiv-1807.11626 #arxiv-1801.04381 #arxiv-1904.02877 #arxiv-2010.14819 #arxiv-2211.07636 #arxiv-2212.08013 #arxiv-2206.09959 #arxiv-1911.11907 #arxiv-2105.08050 #arxiv-2006.14090 #arxiv-2103.12731 #arxiv-1908.07919 #arxiv-1512.00567 #arxiv-1602.07261 #arxiv-2102.08602 #arxiv-2104.01136 #arxiv-2204.01697 #arxiv-2105.01601 #arxiv-1905.02244 #arxiv-2006.02049 #arxiv-2102.11646 #arxiv-2109.15099 #arxiv-2110.02178 #arxiv-2206.02680 #arxiv-2112.01526 #arxiv-1707.07012 #arxiv-2102.06171 #arxiv-2101.08692 #arxiv-1712.00559 #arxiv-2111.11418 #arxiv-2103.16302 #arxiv-2106.13797 #arxiv-2003.13678 #arxiv-2103.06877 #arxiv-2101.03697 #arxiv-2105.03404 #arxiv-1512.03385 #arxiv-1611.05431 #arxiv-1812.01187 #arxiv-1805.00932 #arxiv-1905.00546 #arxiv-1910.03151 #arxiv-1709.01507 #arxiv-2103.07579 #arxiv-1904.01169 #arxiv-2004.08955 #arxiv-2007.00992 #arxiv-1907.00837 #arxiv-1903.06586 #arxiv-2205.01972 #arxiv-2111.14725 #arxiv-2103.14030 #arxiv-2111.09883 #arxiv-2103.00112 #arxiv-2003.13630 #arxiv-2104.13840 #arxiv-2104.12533 #arxiv-2010.11929 #arxiv-2106.13112 #arxiv-1911.06667 #arxiv-1610.02357 #arxiv-1802.02611 #arxiv-2106.09681 #license-apache-2.0 #has_space #region-us 
### Model Description
Aggregating Nested Transformers - URL

BEiT - URL

Big Transfer ResNetV2 (BiT) - URL

Bottleneck Transformers - URL

CaiT (Class-Attention in Image Transformers) - URL

CoaT (Co-Scale Conv-Attentional Image Transformers) - URL

CoAtNet (Convolution and Attention) - URL

ConvNeXt - URL

ConvNeXt-V2 - URL

ConViT (Soft Convolutional Inductive Biases Vision Transformers)- URL

CspNet (Cross-Stage Partial Networks) - URL

DeiT - URL

DeiT-III - URL

DenseNet - URL

DLA - URL

DPN (Dual-Path Network) - URL

EdgeNeXt - URL

EfficientFormer - URL

EfficientNet (MBConvNet Family)

EfficientNet NoisyStudent (B0-B7, L2) - URL

EfficientNet AdvProp (B0-B8) - URL

EfficientNet (B0-B7) - URL

EfficientNet-EdgeTPU (S, M, L) - URL

EfficientNet V2 - URL

FBNet-C - URL

MixNet - URL

MNASNet B1, A1 (Squeeze-Excite), and Small - URL

MobileNet-V2 - URL

Single-Path NAS - URL

TinyNet - URL

EVA - URL

FlexiViT - URL

GCViT (Global Context Vision Transformer) - URL

GhostNet - URL

gMLP - URL

GPU-Efficient Networks - URL

Halo Nets - URL

HRNet - URL

Inception-V3 - URL

Inception-ResNet-V2 and Inception-V4 - URL

Lambda Networks - URL

LeViT (Vision Transformer in ConvNet's Clothing) - URL

MaxViT (Multi-Axis Vision Transformer) - URL

MLP-Mixer - URL

MobileNet-V3 (MBConvNet w/ Efficient Head) - URL

FBNet-V3 - URL

HardCoRe-NAS - URL

LCNet - URL

MobileViT - URL

MobileViT-V2 - URL

MViT-V2 (Improved Multiscale Vision Transformer) - URL

NASNet-A - URL

NesT - URL

NFNet-F - URL

NF-RegNet / NF-ResNet - URL

PNasNet - URL

PoolFormer (MetaFormer) - URL

Pooling-based Vision Transformer (PiT) - URL

PVT-V2 (Improved Pyramid Vision Transformer) - URL

RegNet - URL

RegNetZ - URL

RepVGG - URL

ResMLP - URL

ResNet/ResNeXt

ResNet (v1b/v1.5) - URL

ResNeXt - URL

'Bag of Tricks' / Gluon C, D, E, S variations - URL

Weakly-supervised (WSL) Instagram pretrained / ImageNet tuned ResNeXt101 - URL

Semi-supervised (SSL) / Semi-weakly Supervised (SWSL) ResNet/ResNeXts - URL

ECA-Net (ECAResNet) - URL

Squeeze-and-Excitation Networks (SEResNet) - URL

ResNet-RS - URL

Res2Net - URL

ResNeSt - URL

ReXNet - URL

SelecSLS - URL

Selective Kernel Networks - URL

Sequencer2D - URL

Swin S3 (AutoFormerV2) - URL

Swin Transformer - URL

Swin Transformer V2 - URL

Transformer-iN-Transformer (TNT) - URL

TResNet - URL

Twins (Spatial Attention in Vision Transformers) - URL

Visformer - URL

Vision Transformer - URL

VOLO (Vision Outlooker) - URL

VovNet V2 and V1 - URL

Xception - URL

Xception (Modified Aligned, Gluon) - URL

Xception (Modified Aligned, TF) - URL

XCiT (Cross-Covariance Image Transformers) - URL### Installation### ClassifyHub(Timm) Usage