Image Models

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Computer Vision • 187 methods

Image Models are methods that build representations of images for downstream tasks such as classification and object detection. The most popular subcategory are convolutional neural networks. Below you can find a continuously updated list of image models.

Subcategories

1 Convolutional Neural Networks

2 Vision Transformers

Methods

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Method	Year	Papers
ResNet Deep Residual Learning for Image Recognition	2015	2120
Vision Transformer An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	1348
VGG Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	483
DenseNet Densely Connected Convolutional Networks	2016	399
VGG-16 Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	363
MobileNetV2 MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	319
Swin Transformer Swin Transformer: Hierarchical Vision Transformer using Shifted Windows	2021	284
AlexNet ImageNet Classification with Deep Convolutional Neural Networks	2012	282
Darknet-53 YOLOv3: An Incremental Improvement	2018	254
EfficientNet EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	164
Xception Xception: Deep Learning With Depthwise Separable Convolutions	2017	160
Detr End-to-End Object Detection with Transformers	2020	159
3D CNN Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction	2020	147
GoogLeNet Going Deeper with Convolutions	2014	125
ResNeXt Aggregated Residual Transformations for Deep Neural Networks	2016	125
CSPDarknet53 YOLOv4: Optimal Speed and Accuracy of Object Detection	2020	116
DINO Emerging Properties in Self-Supervised Vision Transformers	2021	94
Inception-v3 Rethinking the Inception Architecture for Computer Vision	2015	86
SqueezeNet SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	85
DeiT Training data-efficient image transformers & distillation through attention	2020	78
VGG-19 Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	76
MobileNetV3 Searching for MobileNetV3	2019	69
MLP-Mixer MLP-Mixer: An all-MLP Architecture for Vision	2021	69
MobileNetV1 MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	66
HRNet Deep High-Resolution Representation Learning for Visual Recognition	2019	59
WideResNet Wide Residual Networks	2016	55
Darknet-19 YOLO9000: Better, Faster, Stronger	2016	52
ShuffleNet ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2017	48
LeNet	1998	45
PCB Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)	2017	44
SENet Squeeze-and-Excitation Networks	2017	42
Deformable DETR Deformable DETR: Deformable Transformers for End-to-End Object Detection	2020	25
NesT Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding	2021	24
CCT Escaping the Big Data Paradigm with Compact Transformers	2021	24
EfficientNetV2 EfficientNetV2: Smaller Models and Faster Training	2021	24
CapsNet Dynamic Routing Between Capsules	2017	23
Res2Net Res2Net: A New Multi-scale Backbone Architecture	2019	22
PVT Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions	2021	21
MnasNet MnasNet: Platform-Aware Neural Architecture Search for Mobile	2018	20
GhostNet GhostNet: More Features from Cheap Operations	2019	18
RegNetY Designing Network Design Spaces	2020	18
DPT Vision Transformers for Dense Prediction	2021	18
DPN Dual Path Networks	2017	15
Inception-ResNet-v2 Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	15
Inception v2 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	14
ShuffleNet v2 ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design	2018	14
CheXNet CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning	2017	13
Inception-v4 Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	12
R(2+1)D A Closer Look at Spatiotemporal Convolutions for Action Recognition	2017	12
MetaFormer MetaFormer Is Actually What You Need for Vision	2021	12
ResNeSt ResNeSt: Split-Attention Networks	2020	12
FBNet FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search	2018	12
SANet Exploring Self-attention for Image Recognition	2020	11
CvT CvT: Introducing Convolutions to Vision Transformers	2021	11
MobileViT MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer	2021	10
RepVGG RepVGG: Making VGG-style ConvNets Great Again	2021	10
T2T-ViT Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet	2021	10
ResNet-D Bag of Tricks for Image Classification with Convolutional Neural Networks	2018	10
MViT Multiscale Vision Transformers	2021	9
MixNet MixConv: Mixed Depthwise Convolutional Kernels	2019	9
PyramidNet Deep Pyramidal Residual Networks	2016	9
RevNet The Reversible Residual Network: Backpropagation Without Storing Activations	2017	9
ResMLP ResMLP: Feedforward networks for image classification with data-efficient training	2021	8
LV-ViT All Tokens Matter: Token Labeling for Training Better Vision Transformers	2021	8
Bottleneck Transformer Bottleneck Transformers for Visual Recognition	2021	7
gMLP Pay Attention to MLPs	2021	7
PoolFormer MetaFormer Is Actually What You Need for Vision	2021	7
OverFeat OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2013	7
MoCo v3 An Empirical Study of Training Self-Supervised Vision Transformers	2021	7
AmoebaNet Regularized Evolution for Image Classifier Architecture Search	2018	7
FractalNet FractalNet: Ultra-Deep Neural Networks without Residuals	2016	6
CR-NET License Plate Detection and Recognition in Unconstrained Scenarios	2018	6
TNT Transformer in Transformer	2021	6
SNet ThunderNet: Towards Real-time Generic Object Detection	2019	6
SimpleNet Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures	2016	6
SpineNet SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization	2019	5
Fast-YOLOv2 YOLO9000: Better, Faster, Stronger	2016	5
ScaleNet Data-Driven Neuron Allocation for Scale Aggregation Networks	2019	5
ZFNet Visualizing and Understanding Convolutional Networks	2013	5
DetNet DetNet: A Backbone network for Object Detection	2018	5
IRN Invertible Image Rescaling	2020	5
VoVNet An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection	2019	5
Focal Transformers Focal Self-attention for Local-Global Interactions in Vision Transformers	2021	4
PanNet PanNet: A Deep Network Architecture for Pan-Sharpening	2017	4
CoaT Co-Scale Conv-Attentional Image Transformers	2021	4
PVTv2 PVT v2: Improved Baselines with Pyramid Vision Transformer	2021	4
CaiT Going deeper with Image Transformers	2021	4
CLRNet A Convolutional LSTM based Residual Network for Deepfake Video Detection	2020	4
Siamese U-Net Deep Active Learning in Remote Sensing for data efficient Change Detection	2020	4
Single-path NAS Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours	2019	4
XCiT XCiT: Cross-Covariance Image Transformers	2021	4
CrossViT CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification	2021	3
SCARLET SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search	2019	3
PeleeNet Pelee: A Real-Time Object Detection System on Mobile Devices	2018	3
MUSIQ MUSIQ: Multi-scale Image Quality Transformer	2021	3
ConViT ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases	2021	3
CrossTransformers CrossTransformers: spatially-aware few-shot transfer	2020	3
SKNet	2000	3
SqueezeNeXt SqueezeNext: Hardware-Aware Neural Network Design	2018	3
CSPResNeXt CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	2
ProxylessNet-Mobile ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	2018	2
ProxylessNet-CPU ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	2018	2
LeVIT LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference	2021	2
RandWire Exploring Randomly Wired Neural Networks for Image Recognition	2019	2
Fast-YOLOv3 YOLOv3: An Incremental Improvement	2018	2
MCKERNEL McKernel: A Library for Approximate Kernel Expansions in Log-linear Time	2017	2
Assemble-ResNet Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network	2020	2
CeiT Incorporating Convolution Designs into Visual Transformers	2021	2
Fast-OCR Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach	2020	2
IICNet IICNet: A Generic Framework for Reversible Image Conversion	2021	2
RegNetX Designing Network Design Spaces	2020	2
DRPNN Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network	2017	2
ProxylessNet-GPU ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	2018	2
VATT VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text	2021	2
GENet Neural Architecture Design for GPU-Efficient Networks	2020	2
DELG Unifying Deep Local and Global Features for Image Search	2020	2
HaloNet Scaling Local Self-Attention for Parameter Efficient Visual Backbones	2021	2
Fast-YOLOv4-SmallObj Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach	2020	2
CPVT Conditional Positional Encodings for Vision Transformers	2021	2
CDIL-CNN Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks	2022	2
nnFormer nnFormer: Interleaved Transformer for Volumetric Segmentation	2021	2
Big-Little Net Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition	2018	2
DenseNet-Elastic ELASTIC: Improving CNNs with Dynamic Scaling Policies	2018	2
BatchFormer BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning	2022	2
ACNN block ACNN: a Full Resolution DCNN for Medical Image Segmentation	2019	2
ResNet-RS Revisiting ResNets: Improved Training and Scaling Strategies	2021	2
ConvMLP ConvMLP: Hierarchical Convolutional MLPs for Vision	2021	1
AlterNet How Do Vision Transformers Work?	2022	1
MultiGrain MultiGrain: a unified image embedding for classes and instances	2019	1
HS-ResNet HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network	2020	1
DeepViT DeepViT: Towards Deeper Vision Transformer	2021	1
ResNeXt-Elastic ELASTIC: Improving CNNs with Dynamic Scaling Policies	2018	1
VoVNetV2 CenterMask : Real-Time Anchor-Free Instance Segmentation	2019	1
Z-PNN Pansharpening by convolutional neural networks in the full resolution framework	2021	1
CornerNet-Squeeze Hourglass CornerNet-Lite: Efficient Keypoint Based Object Detection	2019	1
DenseNAS-A Densely Connected Search Space for More Flexible Neural Architecture Search	2019	1
LR-Net	2000	1
GreedyNAS-C GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet	2020	1
RegionViT RegionViT: Regional-to-Local Attention for Vision Transformers	2021	1
DenseNAS-B Densely Connected Search Space for More Flexible Neural Architecture Search	2019	1
DenseNAS-C Densely Connected Search Space for More Flexible Neural Architecture Search	2019	1
DiCENet DiCENet: Dimension-wise Convolutions for Efficient Networks	2019	1
Deep-CAPTCHA Deep-CAPTCHA: a deep learning based CAPTCHA solver for vulnerability assessment	2020	1
uNetXST A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View	2020	1
CSPPeleeNet CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	1
PocketNet PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation	2021	1
OODformer OODformer: Out-Of-Distribution Detection Transformer	2021	1
DeepSIM Image Shape Manipulation from a Single Augmented Training Sample	2021	1
Shuffle-T Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer	2021	1
ESPNetv2 ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network	2018	1
ECA-Net ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks	2019	1
CSPDenseNet CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	1
GreedyNAS-A GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet	2020	1
ASLFeat ASLFeat: Learning Local Features of Accurate Shape and Localization	2020	1
GreedyNAS-B GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet	2020	1
Twins-PCPVT Twins: Revisiting the Design of Spatial Attention in Vision Transformers	2021	1
MoGA-A MoGA: Searching Beyond MobileNetV3	2019	1
MoGA-C MoGA: Searching Beyond MobileNetV3	2019	1
Visformer Visformer: The Vision-friendly Transformer	2021	1
MHMA Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos	2021	1
LocalViT LocalViT: Bringing Locality to Vision Transformers	2021	1
SPP-Net Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2014	1
IkshanaNet The Ikshana Hypothesis of Human Scene Understanding	2021	1
DetNASNet DetNAS: Backbone Search for Object Detection	2019	1
hdxresnet Predicting galaxy spectra from images with hybrid convolutional neural networks	2020	1
TResNet TResNet: High Performance GPU-Dedicated Architecture	2020	1
VGGoptiVMD 10 hours data is all you need	2022	1
MoGA-B MoGA: Searching Beyond MobileNetV3	2019	1
Colorization Transformer Colorization Transformer	2021	1
CDCC-NET Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach	2020	1
CSPDenseNet-Elastic CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	1
PolyConv PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation	2021	1
Harm-Net Harmonic Convolutional Networks based on Discrete Cosine Transform	2020	1
PReLU-Net Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	1
SAENet Squeeze aggregated excitation network	2023	1
Twins-SVT Twins: Revisiting the Design of Spatial Attention in Vision Transformers	2021	1
EsViT Efficient Self-supervised Vision Transformers for Representation Learning	2021	1

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