GoogLeNet

Introduced by Szegedy et al. in Going Deeper with Convolutions

GoogLeNet is a type of convolutional neural network based on the Inception architecture. It utilises Inception modules, which allow the network to choose between multiple convolutional filter sizes in each block. An Inception network stacks these modules on top of each other, with occasional max-pooling layers with stride 2 to halve the resolution of the grid.

Source: Going Deeper with Convolutions

Latest Papers

PAPER DATE
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound
Gavriel HabibNahum KiryatiMiri Sklair-LevyAnat ShalmonOsnat Halshtok NeimanRenata Faermann WeidenfeldYael YagilEli KonenArnaldo Mayer
2020-09-23
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
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
Introducing Fuzzy Layers for Deep Learning
Stanton R. PriceSteven R. PriceDerek T. Anderson
2020-02-21
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks
Lukas CavigelliLuca Benini
2020-01-04
TopoAct: Visually Exploring the Shape of Activations in Deep Learning
Archit RathoreNithin ChalapathiSourabh PalandeBei Wang
2019-12-13
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
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
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
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
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
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
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
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 21 18.42%
Quantization 11 9.65%
Object Detection 11 9.65%
Object Recognition 7 6.14%
Domain Adaptation 5 4.39%
Object Classification 3 2.63%
Model Compression 3 2.63%
Semantic Segmentation 2 1.75%
Age Estimation 2 1.75%

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