Convolutional Neural Networks

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Computer Vision • Image Models • 123 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.

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Method	Year	Papers
ResNet Deep Residual Learning for Image Recognition	2015	2169
VGG Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	490
MobileNetV2 MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	330
DenseNet Densely Connected Convolutional Networks	2016	291
AlexNet ImageNet Classification with Deep Convolutional Neural Networks	2012	282
Darknet-53 YOLOv3: An Incremental Improvement	2018	258
Xception Xception: Deep Learning With Depthwise Separable Convolutions	2017	163
EfficientNet EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	161
3D CNN Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction	2020	152
GoogLeNet Going Deeper with Convolutions	2014	126
ResNeXt Aggregated Residual Transformations for Deep Neural Networks	2016	125
CSPDarknet53 YOLOv4: Optimal Speed and Accuracy of Object Detection	2020	118
Inception-v3 Rethinking the Inception Architecture for Computer Vision	2015	87
SqueezeNet SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	86
VGG-19 Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	76
MobileNetV3 Searching for MobileNetV3	2019	71
MobileNetV1 MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	66
HRNet Deep High-Resolution Representation Learning for Visual Recognition	2019	64
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	45
VGG-16 Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	45
SENet Squeeze-and-Excitation Networks	2017	42
EfficientNetV2 EfficientNetV2: Smaller Models and Faster Training	2021	25
CapsNet Dynamic Routing Between Capsules	2017	24
MnasNet MnasNet: Platform-Aware Neural Architecture Search for Mobile	2018	20
RegNetY Designing Network Design Spaces	2020	19
GhostNet GhostNet: More Features from Cheap Operations	2019	19
DPN Dual Path Networks	2017	16
Inception-ResNet-v2 Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	15
ShuffleNet v2 ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design	2018	14
Inception v2 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	14
CheXNet CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning	2017	14
ResNeSt ResNeSt: Split-Attention Networks	2020	12
Inception-v4 Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	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
RepVGG RepVGG: Making VGG-style ConvNets Great Again	2021	11
ResNet-D Bag of Tricks for Image Classification with Convolutional Neural Networks	2018	10
MixNet MixConv: Mixed Depthwise Convolutional Kernels	2019	10
RevNet The Reversible Residual Network: Backpropagation Without Storing Activations	2017	9
PyramidNet Deep Pyramidal Residual Networks	2016	9
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
ZFNet Visualizing and Understanding Convolutional Networks	2013	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
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
Single-path NAS Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours	2019	5
VoVNet An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection	2019	5
DetNet DetNet: A Backbone network for Object Detection	2018	5
CLRNet A Convolutional LSTM based Residual Network for Deepfake Video Detection	2020	5
Fast-YOLOv2 YOLO9000: Better, Faster, Stronger	2016	5
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
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
MultiGrain MultiGrain: a unified image embedding for classes and instances	2019	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-YOLOv4-SmallObj Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach	2020	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
ACNN block ACNN: a Full Resolution DCNN for Medical Image Segmentation	2019	2
TResNet TResNet: High Performance GPU-Dedicated Architecture	2020	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
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
VGGoptiVMD 10 hours data is all you need	2022	1
SAENet Squeeze aggregated excitation network	2023	1

Convolutional Neural Networks Edit

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Convolutional Neural Networks

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