Inception-v3

Introduced by Szegedy et al. in Rethinking the Inception Architecture for Computer Vision

Inception-v3 is a convolutional neural network architecture from the Inception family that makes several improvements including using Label Smoothing, Factorized 7 x 7 convolutions, and the use of an auxiliary classifer to propagate label information lower down the network (along with the use of batch normalization for layers in the sidehead).

Source: Rethinking the Inception Architecture for Computer Vision

Latest Papers

PAPER DATE
TanhSoft -- a family of activation functions combining Tanh and Softplus
Koushik BiswasSandeep KumarShilpak BanerjeeAshish Kumar Pandey
2020-09-08
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images
Aditya SriramShivam KalraMorteza BabaieBrady KiefferWaddah Al DrobiShahryar RahnamayanHany KashaniHamid R. Tizhoosh
2020-08-08
Single architecture and multiple task deep neural network for altered fingerprint analysis
Oliver GiudiceMattia LitricoSebastiano Battiato
2020-07-09
Causal Explanations of Image Misclassifications
Yan MinMiles Bennett
2020-06-28
A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection from Chest CT-Scan
| Abdolkarim SaeediMaryam SaeediArash Maghsoudi
2020-06-24
BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach
Albara Ah RamliRex LiuRahul KrishnamoorthyVishal I BXiaoxiao WangIlias TagkopoulosXin Liu
2020-06-01
Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI
Anas TahirYazan QiblaweyAmith KhandakarTawsifur RahmanUzair KhurshidFarayi MusharavatiM. T. IslamSerkan KiranyazMuhammad E. H. Chowdhury
2020-05-23
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices
Chunjie LuoXiwen HeJianfeng ZhanLei WangWanling GaoJiahui Dai
2020-05-07
3D Printed Brain-Controlled Robot-Arm Prosthetic via Embedded Deep Learning from sEMG Sensors
David LonsdaleLi ZhangRichard Jiang
2020-05-04
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
Narinder Singh PunnSonali Agarwal
2020-04-23
GSA-DenseNet121-COVID-19: a Hybrid Deep Learning Architecture for the Diagnosis of COVID-19 Disease based on Gravitational Search Optimization Algorithm
Dalia EzzatAboul ell HassanienHassan Aboul Ella
2020-04-09
A Deep Learning Approach for Determining Effects of Tuta Absoluta in Tomato Plants
Denis P. RubangaLoyani K. LoyaniMgaya RichardSawahiko Shimada
2020-04-08
Identifying Individual Dogs in Social Media Images
Djordje BaticDubravko Culibrk
2020-03-14
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
Muhammad Ali FarooqAsma KhatoonViktor VarkarakisPeter Corcoran
2020-03-13
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images
Soumyajyoti DeySoham DasSwarnendu GhoshShyamali MitraSukanta ChakrabartyNibaran Das
2020-03-12
Neuron Shapley: Discovering the Responsible Neurons
Amirata GhorbaniJames Zou
2020-02-23
Introducing Fuzzy Layers for Deep Learning
Stanton R. PriceSteven R. PriceDerek T. Anderson
2020-02-21
Exponential discretization of weights of neural network connections in pre-trained neural networks
Magomed Yu. MalsagovEmil M. KhayrovMaria M. PushkarevaIakov M. Karandashev
2020-02-03
ZeroQ: A Novel Zero Shot Quantization Framework
| Yaohui CaiZhewei YaoZhen DongAmir GholamiMichael W. MahoneyKurt Keutzer
2020-01-01
Linear Mode Connectivity and the Lottery Ticket Hypothesis
| Jonathan FrankleGintare Karolina DziugaiteDaniel M. RoyMichael Carbin
2019-12-11
Scratch that! An Evolution-based Adversarial Attack against Neural Networks
Malhar JereLoris RossiBriland HitajGabriela CiocarlieGiacomo BoracchiFarinaz Koushanfar
2019-12-05
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
| Saurabh SinghShankar Krishnan
2019-11-21
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss
Qian WangToby P. Breckon
2019-11-18
Predictive modeling of brain tumor: A Deep learning approach
Priyansh SaxenaAkshat MaheshwariShivani TayalSaumil Maheshwari
2019-11-06
Establishing an Evaluation Metric to Quantify Climate Change Image Realism
Sharon ZhouAlexandra LuccioniGautier CosneMichael S. BernsteinYoshua Bengio
2019-10-22
GDP: Generalized Device Placement for Dataflow Graphs
Yanqi ZhouSudip RoyAmirali AbdolrashidiDaniel WongPeter C. MaQiumin XuMing ZhongHanxiao LiuAnna GoldieAzalia MirhoseiniJames Laudon
2019-09-28
Histographs: Graphs in Histopathology
Shrey GadiyaDeepak AnandAmit Sethi
2019-08-14
Genetic Deep Learning for Lung Cancer Screening
Hunter ParkConnor Monahan
2019-07-27
Mimic and Fool: A Task Agnostic Adversarial Attack
Akshay ChaturvediUtpal Garain
2019-06-11
Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset
| Misgina Tsighe HagosShri Kant
2019-05-17
Double Transfer Learning for Breast Cancer Histopathologic Image Classification
Jonathan de MatosAlceu de S. Britto Jr.Luiz E. S. OliveiraAlessandro L. Koerich
2019-04-16
Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification
Chollette C. OlisahLyndon Smith
2019-03-27
DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view cameras
| Oleksandr BogdanViktor EcksteinFrancois RameauJean-Charles Bazin
2018-12-15
Accelerating Convolutional Neural Networks via Activation Map Compression
Georgios Georgiadis
2018-12-10
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
| Michael A. AlcornQi LiZhitao GongChengfei WangLong MaiWei-Shinn KuAnh Nguyen
2018-11-28
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
| Alex OlsenDmitry A. KonovalovBronson PhilippaPeter RiddJake C. WoodJamie JohnsWesley BanksBenjamin GirgentiOwen KennyJames WhinneyBrendan CalvertMostafa Rahimi AzghadiRonald D. White
2018-10-09
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
Jeffrey L. McKinstrySteven K. EsserRathinakumar AppuswamyDeepika BablaniJohn V. ArthurIzzet B. YildizDharmendra S. Modha
2018-09-11
DFT-based Transformation Invariant Pooling Layer for Visual Classification
Jongbin RyuMing-Hsuan YangJongwoo Lim
2018-09-01
Dank Learning: Generating Memes Using Deep Neural Networks
| Abel L Peirson VE Meltem Tolunay
2018-06-08
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
| Moustafa AlzantotYash SharmaSupriyo ChakrabortyHuan ZhangCho-Jui HsiehMani Srivastava
2018-05-28
ADef: an Iterative Algorithm to Construct Adversarial Deformations
| Rima AlaifariGiovanni S. AlbertiTandri Gauksson
2018-04-20
Value-aware Quantization for Training and Inference of Neural Networks
Eunhyeok ParkSungjoo YooPeter Vajda
2018-04-20
Human Semantic Parsing for Person Re-identification
Mahdi M. KalayehEmrah BasaranMuhittin GokmenMustafa E. KamasakMubarak Shah
2018-03-31
Classification of breast cancer histology images using transfer learning
Sulaiman VesalNishant RavikumarAmirAbbas DavariStephan EllmannAndreas Maier
2018-02-26
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
| Tsui-Wei WengHuan ZhangPin-Yu ChenJinfeng YiDong SuYupeng GaoCho-Jui HsiehLuca Daniel
2018-01-31
Large-Scale 3D Scene Classification With Multi-View Volumetric CNN
Dror AigerBrett AllenAleksey Golovinskiy
2017-12-26
Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems
Kexin PeiYinzhi CaoJunfeng YangSuman Jana
2017-12-05
Deep Learning for Skin Lesion Classification
P. MirunaliniAravindan ChandraboseVignesh GokulS. M. Jaisakthi
2017-03-13
Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks
Terrance DeVriesDhanesh Ramachandram
2017-03-04
Identifying Best Interventions through Online Importance Sampling
Rajat SenKarthikeyan ShanmugamAlexandros G. DimakisSanjay Shakkottai
2017-01-10
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
| Christian SzegedySergey IoffeVincent VanhouckeAlex Alemi
2016-02-23
RandomOut: Using a convolutional gradient norm to rescue convolutional filters
Joseph Paul CohenHenry Z. LoWei Ding
2016-02-18
Rethinking the Inception Architecture for Computer Vision
| Christian SzegedyVincent VanhouckeSergey IoffeJonathon ShlensZbigniew Wojna
2015-12-02

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