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
Transferable Graph Optimizers for ML Compilers
Yanqi ZhouSudip RoyAmirali AbdolrashidiDaniel WongPeter MaQiumin XuHanxiao LiuMangpo Phitchaya PhothilimthaShen WangAnna GoldieAzalia MirhoseiniJames Laudon
2020-10-21
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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