Inception Module

Introduced by Szegedy et al. in Going Deeper with Convolutions

An Inception Module is an image model block that aims to approximate an optimal local sparse structure in a CNN. Put simply, it allows for us to use multiple types of filter size, instead of being restricted to a single filter size, in a single image block, which we then concatenate and pass onto the next layer.

Source: Going Deeper with Convolutions

Latest Papers

PAPER DATE
From Sound Representation to Model Robustness
Mohammad EsmaeilpourPatrick CardinalAlessandro Lameiras Koerich
2020-07-27
Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes
Marcelo Gennari do NascimentoTheo W. CostainVictor Adrian Prisacariu
2020-07-15
Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?
| Ella M. GaleNicholas MartinRyan BlythingAnh NguyenJeffrey S. Bowers
2020-07-02
Causal Explanations of Image Misclassifications
Yan MinMiles Bennett
2020-06-28
Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs
Aditya RajagopalDiederik Adriaan VinkStylianos I. VenierisChristos-Savvas Bouganis
2020-06-16
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning
Jie AnTao LiHaozhi HuangLi ShenXuan WangYongyi TangJinwen MaWei LiuJiebo Luo
2020-06-16
Intriguing generalization and simplicity of adversarially trained neural networks
Chirag AgarwalPeijie ChenAnh Nguyen
2020-06-16
Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs
Behnam PourghassemiChenghao ZhangJoo Hwan LeeAparna Chandramowlishwaran
2020-05-28
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models
Martin KotuliakSandro E. SchoenbornAndrei Dan
2020-05-19
On the safety of vulnerable road users by cyclist orientation detection using Deep Learning
Marichelo Garcia-VenegasDiego A. Mercado-RavellCarlos A. Carballo-Monsivais
2020-04-25
SIGN: Scalable Inception Graph Neural Networks
Fabrizio FrascaEmanuele RossiDavide EynardBen ChamberlainMichael BronsteinFederico Monti
2020-04-23
Detection of Covid-19 From Chest X-ray Images Using Artificial Intelligence: An Early Review
Muhammad IlyasHina RehmanAmine Nait-ali
2020-04-11
Skin Diseases Detection using LBP and WLD- An Ensembling Approach
Arnab BanerjeeNibaran DasMita Nasipuri
2020-04-08
Within the Lack of COVID-19 Benchmark Dataset: A Novel GAN with Deep Transfer Learning for Corona-virus Detection in Chest X-ray Images
Mohamed LoeyFlorentin SmarandacheNour Eldeen M. Khalifa
2020-04-07
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset
Nour Eldeen M. KhalifaMohamed Hamed N. TahaAboul Ella HassanienSally Elghamrawy
2020-04-02
Classification of the Chinese Handwritten Numbers with Supervised Projective Dictionary Pair Learning
Rasool AmeriSaideh FerdowsiAli AlameerVahid AbolghasemiKianoush Nazarpour
2020-03-26
Performance Evaluation of Advanced Deep Learning Architectures for Offline Handwritten Character Recognition
Moazam SoomroMuhammad Ali FarooqRana Hammad Raza
2020-03-15
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls
Mengjiao HuKang SimJuan Helen ZhouXudong JiangCuntai Guan
2020-03-14
Identifying Individual Dogs in Social Media Images
Djordje BaticDubravko Culibrk
2020-03-14
Traffic Signs Detection and Recognition System using Deep Learning
Pavly Salah ZakiMarco Magdy WilliamBolis Karam SolimanKerolos Gamal AlexsanKeroles KhalilMagdy El-Moursy
2020-03-06
Introducing Fuzzy Layers for Deep Learning
Stanton R. PriceSteven R. PriceDerek T. Anderson
2020-02-21
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian WuYisen WangShu-Tao XiaJames BaileyXingjun Ma
2020-02-14
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks
| Mingyuan MengXingyu YangShanlin XiaoZhiyi Yu
2020-01-29
Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction
Shruti JaiswalGora Chand Nandi
2020-01-12
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks
Lukas CavigelliLuca Benini
2020-01-04
UW-NET: AN INCEPTION-ATTENTION NETWORK FOR UNDERWATER IMAGE CLASSIFICATION
Miao Yang and Ke HuChongyi LiZhiqiang Wei
2020-01-01
Multi-Precision Policy Enforced Training (MuPPET) : A precision-switching strategy for quantised fixed-point training of CNNs
Anonymous
2020-01-01
Random Partition Relaxation for Training Binary and Ternary Weight Neural Network
Anonymous
2020-01-01
Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?
Anonymous
2020-01-01
TopoAct: Visually Exploring the Shape of Activations in Deep Learning
Archit RathoreNithin ChalapathiSourabh PalandeBei Wang
2019-12-13
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning
| Mingyuan MengXingyu YangLei BiJinman KimShanlin XiaoZhiyi Yu
2019-12-02
AI-based Pilgrim Detection using Convolutional Neural Networks
Marwa Ben JabraAdel AmmarAnis KoubaaOmar CheikhrouhouHabib Hamam
2019-11-18
A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices
Tolulope A. OdetolaOgheneuriri OderhohwoSyed Rafay Hasan
2019-11-05
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving
Der-Hau LeeKuan-Lin ChenKuan-Han LiouChang-Lun LiuJinn-Liang Liu
2019-10-26
DSConv: Efficient Convolution Operator
Marcelo Gennari do Nascimento Roger Fawcett Victor Adrian Prisacariu
2019-10-01
Deep Convolutions for In-Depth Automated Rock Typing
E. E. BaraboshkinL. S. IsmailovaD. M. OrlovE. A. ZhukovskayaG. A. KalmykovO. V. KhotylevE. Yu. BaraboshkinD. A. Koroteev
2019-09-23
Inception-inspired LSTM for Next-frame Video Prediction
| Matin HosseiniAnthony S. MaidaMajid HosseiniGottumukkala Raju
2019-08-28
Fine-Tuning Models Comparisons on Garbage Classification for Recyclability
Umut OzkayaLevent Seyfi
2019-08-07
Genetic Deep Learning for Lung Cancer Screening
Hunter ParkConnor Monahan
2019-07-27
DeepShift: Towards Multiplication-Less Neural Networks
| Mostafa ElhoushiZihao ChenFarhan ShafiqYe Henry TianJoey Yiwei Li
2019-05-30
C3AE: Exploring the Limits of Compact Model for Age Estimation
| Chao ZhangShuaicheng LiuXun XuCe Zhu
2019-04-10
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network
Mohammad EsmaeilpourPatrick CardinalAlessandro Lameiras Koerich
2019-04-08
A Dilated Inception Network for Visual Saliency Prediction
| Sheng YangGuosheng LinQiuping JiangWeisi Lin
2019-04-07
End-to-End Video Captioning
Silvio OlivastriGurkirt SinghFabio Cuzzolin
2019-04-04
Evaluating CNNs on the Gestalt Principle of Closure
Gregor EhrenspergerSebastian StabingerAntonio Rodríguez Sánchez
2019-03-30
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI
Endre GrøvikDarvin YiMichael IvElisabeth TongDaniel L. RubinGreg Zaharchuk
2019-03-18
Image Privacy Prediction Using Deep Neural Networks
Ashwini TongeCornelia Caragea
2019-03-08
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression
Jie ZhangXiaolong WangDawei LiShalini GhoshAbhishek KolagundaYalin Wang
2019-02-03
TUNet: Incorporating segmentation maps to improve classification
Yijun Tian
2019-01-27
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
| Shaohui LinRongrong JiYuchao LiCheng DengXuelong Li
2019-01-23
DSConv: Efficient Convolution Operator
Marcelo GennariRoger FawcettVictor Adrian Prisacariu
2019-01-07
Artificial Color Constancy via GoogLeNet with Angular Loss Function
| Oleksii Sidorov
2018-11-20
Structure Learning of Deep Neural Networks with Q-Learning
Guoqiang ZhongWencong JiaoWei Gao
2018-10-31
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks
Haoming LinYuyang HuSiping ChenJianhua YaoLing Zhang
2018-10-14
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
| S H Shabbeer BashaSoumen GhoshKancharagunta Kishan BabuShiv Ram DubeyViswanath PulabaigariSnehasis Mukherjee
2018-09-30
Rethinking Numerical Representations for Deep Neural Networks
Parker HillBabak ZamiraiShengshuo LuYu-Wei ChaoMichael LaurenzanoMehrzad SamadiMarios PapaefthymiouScott MahlkeThomas WenischJia DengLingjia TangJason Mars
2018-08-07
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks
Yuzhe MaRan ChenWei LiFanhua ShangWenjian YuMinsik ChoBei Yu
2018-07-26
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
| Dongqing ZhangJiaolong YangDongqiangzi YeGang Hua
2018-07-26
DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration
Mohamed S. AbdelfattahDavid HanAndrew BitarRoberto DiCeccoShane OConnellNitika ShankerJoseph ChuIan PrinsJoshua FenderAndrew C. LingGordon R. Chiu
2018-07-13
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
| Junru WuYue WangZhenyu WuZhangyang WangAshok VeeraraghavanYingyan Lin
2018-07-01
Deep $k$-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
| Junru WuYue WangZhenyu WuZhangyang WangAshok VeeraraghavanYingyan Lin
2018-06-24
Age and Gender Classification From Ear Images
Dogucan YamanFevziye Irem EyiokurNurdan SezginHazım Kemal Ekenel
2018-06-14
State Classification with CNN
Astha Sharma
2018-06-05
Categorizing Concepts With Basic Level for Vision-to-Language
Hanzhang WangHanli WangKaisheng Xu
2018-06-01
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization
Frederick TungGreg Mori
2018-06-01
Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs
Chuanhao ZhugeXinheng LiuXiaofan ZhangSudeep GummadiJinjun XiongDeming Chen
2018-03-23
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent
Jeff DailyAbhinav VishnuCharles SiegelThomas WarfelVinay Amatya
2018-03-15
Data Augmentation by Pairing Samples for Images Classification
Hiroshi Inoue
2018-01-09
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ
Zhe ZhuMichael HarowiczJun ZhangAshirbani SahaLars J. GrimmE. Shelley HwangMaciej A. Mazurowski
2017-11-28
Feature Selective Networks for Object Detection
Yao ZhaiJingjing FuYan LuHouqiang Li
2017-11-24
Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico
Boris BabenkoJonathan HershDavid NewhouseAnusha RamakrishnanTom Swartz
2017-11-16
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs
Shaohuai ShiXiaowen Chu
2017-11-16
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks
Vishal DesaiAdam E. FlandersParas Lakhani
2017-10-10
Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations
| Klemen GrmVitomir ŠtrucAnais ArtigesMatthieu CaronHazim Kemal Ekenel
2017-10-04
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design
Zhourui SongZhenyu LiuDongsheng Wang
2017-09-22
Exploring Food Detection using CNNs
Eduardo AguilarMarc BolañosPetia Radeva
2017-09-14
Single Shot Text Detector with Regional Attention
| Pan HeWeilin HuangTong HeQile ZhuYu QiaoXiaolin Li
2017-09-01
Flower Categorization using Deep Convolutional Neural Networks
Ayesha GurnaniViraj MavaniVandit GajjarYash Khandhediya
2017-08-12
Snowflake: A Model Agnostic Accelerator for Deep Convolutional Neural Networks
Vinayak GokhaleAliasger ZaidyAndre Xian Ming ChangEugenio Culurciello
2017-08-08
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module
| Wuzhen ShiFeng JiangDebin Zhao
2017-07-22
Xception: Deep Learning With Depthwise Separable Convolutions
| Francois Chollet
2017-07-01
Weighted-Entropy-Based Quantization for Deep Neural Networks
Eunhyeok ParkJunwhan AhnSungjoo Yoo
2017-07-01
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
Shuchang ZhouYuzhi WangHe WenQinyao HeYuheng Zou
2017-06-22
SEP-Nets: Small and Effective Pattern Networks
Zhe LiXiaoyu WangXutao LvTianbao Yang
2017-06-13
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data
| Haifeng LiXin DouChao TaoZhixiang HouJie ChenJian PengMin DengLing Zhao
2017-05-30
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
| Wei WenCong XuFeng YanChunpeng WuYandan WangYiran ChenHai Li
2017-05-22
UC Merced Submission to the ActivityNet Challenge 2016
Yi ZhuShawn NewsamZaikun Xu
2017-04-11
Coordinating Filters for Faster Deep Neural Networks
| Wei WenCong XuChunpeng WuYandan WangYiran ChenHai Li
2017-03-28
Multilevel Context Representation for Improving Object Recognition
Andreas KölschMuhammad Zeshan AfzalMarcus Liwicki
2017-03-19
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation
Chunpeng WuWei WenTariq AfzalYongmei ZhangYiran ChenHai Li
2017-03-12
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations
Liangzhen LaiNaveen SudaVikas Chandra
2017-03-08
Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work
Nizar MassouhFrancesca BabiloniTatiana TommasiJay YoungNick HawesBarbara Caputo
2017-02-28
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
| Aojun ZhouAnbang YaoYiwen GuoLin XuYurong Chen
2017-02-10
Deep Learning with Low Precision by Half-wave Gaussian Quantization
| Zhaowei CaiXiaodong HeJian SunNuno Vasconcelos
2017-02-03
Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization
Kai YuBiao LengZhang ZhangDangwei LiKaiqi Huang
2016-11-17
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
Tien-Ju YangYu-Hsin ChenVivienne Sze
2016-11-16
Gradients of Counterfactuals
Mukund SundararajanAnkur TalyQiqi Yan
2016-11-08
Boosting Image Captioning with Attributes
Ting YaoYingwei PanYehao LiZhaofan QiuTao Mei
2016-11-05
Xception: Deep Learning with Depthwise Separable Convolutions
| François Chollet
2016-10-07
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation
| Xin JinLe WuXiaodong LiXiaokun ZhangJingying ChiSiwei PengShiming GeGeng ZhaoShuying Li
2016-10-07
25 years of CNNs: Can we compare to human abstraction capabilities?
Sebastian StabingerAntonio Rodríguez-SánchezJustus Piater
2016-07-28
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks
Xiaojie JinYunpeng ChenJian DongJiashi FengShuicheng Yan
2016-07-19
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
Song HanJeff PoolSharan NarangHuizi MaoEnhao GongShijian TangErich ElsenPeter VajdaManohar PaluriJohn TranBryan CatanzaroWilliam J. Dally
2016-07-15
NIST: An Image Classification Network to Image Semantic Retrieval
Le DongXiuyuan ChenMengdie MaoQianni Zhang
2016-07-02
Maximizing CNN Accelerator Efficiency Through Resource Partitioning
Yongming ShenMichael FerdmanPeter Milder
2016-06-30
Going Deeper for Multilingual Visual Sentiment Detection
Brendan JouShih-Fu Chang
2016-05-30
Theano-MPI: a Theano-based Distributed Training Framework
| He MaFei MaoGraham W. Taylor
2016-05-26
Adversarial Diversity and Hard Positive Generation
Andras RozsaEthan M. RuddTerrance E. Boult
2016-05-05
Refining Architectures of Deep Convolutional Neural Networks
Sukrit ShankarDuncan RobertsonYani IoannouAntonio CriminisiRoberto Cipolla
2016-04-22
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
| Kai KangHongsheng LiJunjie YanXingyu ZengBin YangTong XiaoCong ZhangZhe WangRuohui WangXiaogang WangWanli Ouyang
2016-04-09
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design
| Minsoo RhuNatalia GimelsheinJason ClemonsArslan ZulfiqarStephen W. Keckler
2016-02-25
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Guo-Sen XieXu-Yao ZhangShuicheng YanCheng-Lin Liu
2016-01-29
Factors in Finetuning Deep Model for object detection
Wanli OuyangXiaogang WangCong ZhangXiaokang Yang
2016-01-20
Deep Learning with S-shaped Rectified Linear Activation Units
Xiaojie JinChunyan XuJiashi FengYunchao WeiJunjun XiongShuicheng Yan
2015-12-22
Deep Neural Decision Forests
Peter KontschiederMadalina FiterauAntonio CriminisiSamuel Rota Bulo
2015-12-01
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
| Yong-Deok KimEunhyeok ParkSungjoo YooTaelim ChoiLu YangDongjun Shin
2015-11-20
All you need is a good init
| Dmytro MishkinJiri Matas
2015-11-19
Convolutional neural networks with low-rank regularization
| Cheng TaiTong XiaoYi ZhangXiaogang WangWeinan E
2015-11-19
Deep Metric Learning via Lifted Structured Feature Embedding
| Hyun Oh SongYu XiangStefanie JegelkaSilvio Savarese
2015-11-19
Traffic Sign Classification Using Deep Inception Based Convolutional Networks
| Mrinal Haloi
2015-11-10
Land Use Classification in Remote Sensing Images by Convolutional Neural Networks
Marco CastelluccioGiovanni PoggiCarlo SansoneLuisa Verdoliva
2015-08-01
A Visual Embedding for the Unsupervised Extraction of Abstract Semantics
D. Garcia-GasullaJ. BéjarU. CortésE. AyguadéJ. LabartaT. SuzumuraR. Chen
2015-07-31
Cyclical Learning Rates for Training Neural Networks
| Leslie N. Smith
2015-06-03
Object Detection by Labeling Superpixels
Junjie YanYinan YuXiangyu ZhuZhen LeiStan Z. Li
2015-06-01
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
| Zhuoyao ZhongLianwen JinZecheng Xie
2015-05-19
Exploiting Local Features from Deep Networks for Image Retrieval
Joe Yue-Hei NgFan YangLarry S. Davis
2015-04-20
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
| Sergey IoffeChristian Szegedy
2015-02-11
Attention for Fine-Grained Categorization
Pierre SermanetAndrea FromeEsteban Real
2014-12-22
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
Wanli OuyangXiaogang WangXingyu ZengShi QiuPing LuoYonglong TianHongsheng LiShuo YangZhe WangChen-Change LoyXiaoou Tang
2014-12-17
Going Deeper with Convolutions
| Christian SzegedyWei LiuYangqing JiaPierre SermanetScott ReedDragomir AnguelovDumitru ErhanVincent VanhouckeAndrew Rabinovich
2014-09-17

Tasks

TASK PAPERS SHARE
Image Classification 27 19.57%
Object Detection 15 10.87%
Quantization 12 8.70%
Object Recognition 8 5.80%
Domain Adaptation 5 3.62%
Object Classification 4 2.90%
Model Compression 3 2.17%
Semantic Segmentation 2 1.45%
Age Estimation 2 1.45%

Categories