Image Model Blocks

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Computer Vision • 93 methods

Image Model Blocks are building blocks used in image models such as convolutional neural networks. Below you can find a continuously updating list of image model blocks.

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Method	Year	Papers
Residual Block Deep Residual Learning for Image Recognition	2015	2805
Bottleneck Residual Block Deep Residual Learning for Image Recognition	2015	2049
Squeeze-and-Excitation Block Squeeze-and-Excitation Networks	2017	540
Dense Block Densely Connected Convolutional Networks	2016	497
Spatial Attention Module CBAM: Convolutional Block Attention Module	2018	220
Inception Module Going Deeper with Convolutions	2014	205
Non-Local Block Non-local Neural Networks	2017	168
Spatial Transformer Spatial Transformer Networks	2015	168
ResNeXt Block Aggregated Residual Transformations for Deep Neural Networks	2016	131
PnP PnP-DETR: Towards Efficient Visual Analysis with Transformers	2021	112
Channel Attention Module CBAM: Convolutional Block Attention Module	2018	100
Inception-v3 Module Rethinking the Inception Architecture for Computer Vision	2015	95
Fire Module SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	95
Axial Attention Axial Attention in Multidimensional Transformers	2019	59
Wide Residual Block Wide Residual Networks	2016	55
ShuffleNet Block ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2017	50
ESP ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation	2018	46
CBAM CBAM: Convolutional Block Attention Module	2018	43
SRGAN Residual Block Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	2016	34
Hourglass Module Stacked Hourglass Networks for Human Pose Estimation	2016	31
Ghost Module GhostNet: More Features from Cheap Operations	2019	30
Reduction-A Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	28
Selective Kernel Selective Kernel Networks	2019	27
Efficient Channel Attention ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks	2019	26
Res2Net Block Res2Net: A New Multi-scale Backbone Architecture	2019	25
NEAT NEAT: Neural Attention Fields for End-to-End Autonomous Driving	2021	25
Ghost Bottleneck GhostNet: More Features from Cheap Operations	2019	24
ENet Initial Block ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation	2016	24
ENet Bottleneck ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation	2016	24
ENet Dilated Bottleneck ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation	2016	24
ShuffleNet V2 Block ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design	2018	21
Split Attention ResNeSt: Split-Attention Networks	2020	20
DPN Block Dual Path Networks	2017	19
Inception-ResNet-v2-C Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	18
Inception-ResNet-v2-B Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	18
Inception-ResNet-v2-A Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	18
Inception-ResNet-v2 Reduction-B Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	18
ShuffleNet V2 Downsampling Block ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design	2018	14
Inception-A Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	13
Inception-B Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	13
Inception-C Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	13
Reduction-B Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	13
Global Context Block GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond	2019	12
FBNet Block FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search	2018	12
TNT Transformer in Transformer	2021	12
One-Shot Aggregation An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection	2019	11
Bottleneck Transformer Block Bottleneck Transformers for Visual Recognition	2021	10
Pyramidal Residual Unit Deep Pyramidal Residual Networks	2016	8
Pyramidal Bottleneck Residual Unit	2000	8
Scale Aggregation Block Data-Driven Neuron Allocation for Scale Aggregation Networks	2019	7
Spatial Feature Transform Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform	2018	7
Mixer Layer MLP-Mixer: An all-MLP Architecture for Vision	2021	7
Fractal Block FractalNet: Ultra-Deep Neural Networks without Residuals	2016	6
Dilated Bottleneck Block DetNet: A Backbone network for Object Detection	2018	5
Dilated Bottleneck with Projection Block DetNet: A Backbone network for Object Detection	2018	5
Multiscale Dilated Convolution Block Neural Photo Editing with Introspective Adversarial Networks	2016	5
NVAE Generative Residual Cell NVAE: A Deep Hierarchical Variational Autoencoder	2020	5
NVAE Encoder Residual Cell NVAE: A Deep Hierarchical Variational Autoencoder	2020	5
Big-Little Module Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition	2018	4
LRNet Local Relation Networks for Image Recognition	2019	4
XCiT Layer XCiT: Cross-Covariance Image Transformers	2021	4
Local Patch Interaction XCiT: Cross-Covariance Image Transformers	2021	4
Style-based Recalibration Module SRM : A Style-based Recalibration Module for Convolutional Neural Networks	2019	3
EESP ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network	2018	3
CSPResNeXt Block CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	3
Two-Way Dense Layer Pelee: A Real-Time Object Detection System on Mobile Devices	2018	3
SqueezeNeXt Block SqueezeNext: Hardware-Aware Neural Network Design	2018	3
Elastic Dense Block ELASTIC: Improving CNNs with Dynamic Scaling Policies	2018	2
DVD-GAN GBlock Adversarial Video Generation on Complex Datasets	2019	2
DVD-GAN DBlock Adversarial Video Generation on Complex Datasets	2019	2
Global Local Attention Module All the attention you need: Global-local, spatial-channel attention for image retrieval	2021	2
Harmonic Block Harmonic Convolutional Networks based on Discrete Cosine Transform	2020	1
Spatial Group-wise Enhance Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks	2019	1
Residual SRM SRM : A Style-based Recalibration Module for Convolutional Neural Networks	2019	1
DiCE Unit DiCENet: Dimension-wise Convolutions for Efficient Networks	2019	1
DimFuse DiCENet: Dimension-wise Convolutions for Efficient Networks	2019	1
Strided EESP ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network	2018	1
Compact Global Descriptor Compact Global Descriptor for Neural Networks	2019	1
OSA (identity mapping + eSE) CenterMask : Real-Time Anchor-Free Instance Segmentation	2019	1
Effective Squeeze-and-Excitation Block CenterMask : Real-Time Anchor-Free Instance Segmentation	2019	1
Elastic ResNeXt Block ELASTIC: Improving CNNs with Dynamic Scaling Policies	2018	1
Depthwise Fire Module CornerNet-Lite: Efficient Keypoint Based Object Detection	2019	1
CornerNet-Squeeze Hourglass Module CornerNet-Lite: Efficient Keypoint Based Object Detection	2019	1
Mobile DenseNet EfficientPose: Scalable single-person pose estimation	2020	1
E-MBConv EfficientPose: Scalable single-person pose estimation	2020	1
Contextual Residual Aggregation Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting	2020	1
Content-Conditioned Style Encoder COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder	2020	1
Hierarchical-Split Block HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network	2020	1
AttLWB Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis	2020	1
Patch Merger Learning to Merge Tokens in Vision Transformers	2022	1

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