Convolutional Neural Networks

Edit

Computer Vision • Image Models • 121 methods

Convolutional Neural Networks are used to extract features from images (and videos), employing convolutions as their primary operator. Below you can find a continuously updating list of convolutional neural networks.

Methods

Add a Method

Method	Year	Papers
ResNet Deep Residual Learning for Image Recognition	2015	1989
VGG Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	468
DenseNet Densely Connected Convolutional Networks	2016	380
VGG-16 Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	350
MobileNetV2 MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	309
AlexNet ImageNet Classification with Deep Convolutional Neural Networks	2012	282
EfficientNet EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	250
Darknet-53 YOLOv3: An Incremental Improvement	2018	239
Xception Xception: Deep Learning With Depthwise Separable Convolutions	2017	148
ResNeXt Aggregated Residual Transformations for Deep Neural Networks	2016	125
GoogLeNet Going Deeper with Convolutions	2014	120
CSPDarknet53 YOLOv4: Optimal Speed and Accuracy of Object Detection	2020	108
Inception-v3 Rethinking the Inception Architecture for Computer Vision	2015	83
SqueezeNet SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	83
VGG-19 Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	70
MobileNetV1 MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	66
MobileNetV3 Searching for MobileNetV3	2019	63
WideResNet Wide Residual Networks	2016	55
HRNet Deep High-Resolution Representation Learning for Visual Recognition	2019	55
Darknet-19 YOLO9000: Better, Faster, Stronger	2016	51
ShuffleNet ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2017	47
LeNet	1998	45
PCB Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)	2017	37
SENet Squeeze-and-Excitation Networks	2017	36
EfficientNetV2 EfficientNetV2: Smaller Models and Faster Training	2021	20
MnasNet MnasNet: Platform-Aware Neural Architecture Search for Mobile	2018	19
CapsNet Dynamic Routing Between Capsules	2017	19
GhostNet GhostNet: More Features from Cheap Operations	2019	18
DPN Dual Path Networks	2017	15
Inception-ResNet-v2 Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	15
RegNetY Designing Network Design Spaces	2020	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	13
CheXNet CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning	2017	13
ResNeSt ResNeSt: Split-Attention Networks	2020	12
FBNet FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search	2018	12
R(2+1)D A Closer Look at Spatiotemporal Convolutions for Action Recognition	2017	12
Inception-v4 Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	11
RevNet The Reversible Residual Network: Backpropagation Without Storing Activations	2017	9
ResNet-D Bag of Tricks for Image Classification with Convolutional Neural Networks	2018	9
PyramidNet Deep Pyramidal Residual Networks	2016	9
MixNet MixConv: Mixed Depthwise Convolutional Kernels	2019	8
RepVGG RepVGG: Making VGG-style ConvNets Great Again	2021	8
AmoebaNet Regularized Evolution for Image Classifier Architecture Search	2018	7
OverFeat OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2013	7
FractalNet FractalNet: Ultra-Deep Neural Networks without Residuals	2016	6
SimpleNet Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures	2016	6
CR-NET License Plate Detection and Recognition in Unconstrained Scenarios	2018	6
ScaleNet Data-Driven Neuron Allocation for Scale Aggregation Networks	2019	5
SpineNet SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization	2019	5
ZFNet Visualizing and Understanding Convolutional Networks	2013	5
DetNet DetNet: A Backbone network for Object Detection	2018	5
SNet ThunderNet: Towards Real-time Generic Object Detection	2019	5
Fast-YOLOv2 YOLO9000: Better, Faster, Stronger	2016	5
Single-path NAS Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours	2019	4
VoVNet An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection	2019	4
Siamese U-Net Deep Active Learning in Remote Sensing for data efficient Change Detection	2020	4
PanNet PanNet: A Deep Network Architecture for Pan-Sharpening	2017	4
SKNet	2000	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
SqueezeNeXt SqueezeNext: Hardware-Aware Neural Network Design	2018	3
CLRNet A Convolutional LSTM based Residual Network for Deepfake Video Detection	2020	3
ProxylessNet-GPU 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
ProxylessNet-Mobile ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	2018	2
Assemble-ResNet Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network	2020	2
Big-Little Net Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition	2018	2
RandWire Exploring Randomly Wired Neural Networks for Image Recognition	2019	2
RegNetX Designing Network Design Spaces	2020	2
CSPResNeXt CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	2
DenseNet-Elastic ELASTIC: Improving CNNs with Dynamic Scaling Policies	2018	2
MCKERNEL McKernel: A Library for Approximate Kernel Expansions in Log-linear Time	2017	2
Fast-OCR Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach	2020	2
Fast-YOLOv3 YOLOv3: An Incremental Improvement	2018	2
ResNet-RS Revisiting ResNets: Improved Training and Scaling Strategies	2021	2
DELG Unifying Deep Local and Global Features for Image Search	2020	2
GENet Neural Architecture Design for GPU-Efficient Networks	2020	2
DRPNN Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network	2017	2
CDIL-CNN Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks	2022	2
VGGoptiVMD 10 hours data is all you need	2022	2
TResNet TResNet: High Performance GPU-Dedicated Architecture	2020	1
MultiGrain MultiGrain: a unified image embedding for classes and instances	2019	1
Harm-Net Harmonic Convolutional Networks based on Discrete Cosine Transform	2020	1
ECA-Net ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks	2019	1
GreedyNAS-A GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet	2020	1
GreedyNAS-B GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet	2020	1
GreedyNAS-C GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet	2020	1
MoGA-A MoGA: Searching Beyond MobileNetV3	2019	1
MoGA-B MoGA: Searching Beyond MobileNetV3	2019	1
MoGA-C MoGA: Searching Beyond MobileNetV3	2019	1
DenseNAS-A Densely Connected Search Space for More Flexible Neural Architecture Search	2019	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
PReLU-Net Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	1
SPP-Net Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2014	1
DiCENet DiCENet: Dimension-wise Convolutions for Efficient Networks	2019	1
ESPNetv2 ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network	2018	1
VoVNetV2 CenterMask : Real-Time Anchor-Free Instance Segmentation	2019	1
DetNASNet DetNAS: Backbone Search for Object Detection	2019	1
CSPPeleeNet CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	1
CSPDenseNet CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	1
ResNeXt-Elastic ELASTIC: Improving CNNs with Dynamic Scaling Policies	2018	1
CSPDenseNet-Elastic CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	1
CornerNet-Squeeze Hourglass CornerNet-Lite: Efficient Keypoint Based Object Detection	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
IkshanaNet The Ikshana Hypothesis of Human Scene Understanding	2021	1
Fast-YOLOv4-SmallObj Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach	2020	1
CDCC-NET Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach	2020	1
ASLFeat ASLFeat: Learning Local Features of Accurate Shape and Localization	2020	1
PocketNet PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation	2021	1
ConvMLP ConvMLP: Hierarchical Convolutional MLPs for Vision	2021	1
HS-ResNet HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network	2020	1
hdxresnet Predicting galaxy spectra from images with hybrid convolutional neural networks	2020	1
Z-PNN Pansharpening by convolutional neural networks in the full resolution framework	2021	1
AlterNet How Do Vision Transformers Work?	2022	1
PolyConv PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation	2021	1
SAENet Squeeze aggregated excitation network	2023	1

Convolutional Neural Networks Edit

Methods Add a Method

Convolutional Neural Networks

Edit

Methods

Add a Method