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Rethinking the Inception Architecture for Computer Vision
v1v2v3 (latest)

Rethinking the Inception Architecture for Computer Vision

2 December 2015
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
    3DVBDL
ArXiv (abs)PDFHTML

Papers citing "Rethinking the Inception Architecture for Computer Vision"

50 / 6,634 papers shown
Title
Information Competing Process for Learning Diversified Representations
Information Competing Process for Learning Diversified Representations
Jie Hu
Rongrong Ji
Shengchuan Zhang
Xiaoshuai Sun
QiXiang Ye
Chia-Wen Lin
Q. Tian
208
14
0
04 Jun 2019
Visual Diagnosis of Dermatological Disorders: Human and Machine
  Performance
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance
J. Kawahara
Ghassan Hamarneh
54
11
0
04 Jun 2019
Exploring Phoneme-Level Speech Representations for End-to-End Speech
  Translation
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation
Elizabeth Salesky
Matthias Sperber
A. Black
52
35
0
04 Jun 2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural
  Networks Under Hardware Fault Attacks
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Sanghyun Hong
Pietro Frigo
Yigitcan Kaya
Cristiano Giuffrida
Tudor Dumitras
AAML
74
214
0
03 Jun 2019
Fluent Translations from Disfluent Speech in End-to-End Speech
  Translation
Fluent Translations from Disfluent Speech in End-to-End Speech Translation
Elizabeth Salesky
Matthias Sperber
A. Waibel
66
34
0
03 Jun 2019
Hierarchical Video Frame Sequence Representation with Deep Convolutional
  Graph Network
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network
Feng Mao
Xiang Wu
Hui Xue
Rong Zhang
47
32
0
02 Jun 2019
Perceptual Evaluation of Adversarial Attacks for CNN-based Image
  Classification
Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification
Sid Ahmed Fezza
Yassine Bakhti
W. Hamidouche
Olivier Déforges
AAML
57
32
0
01 Jun 2019
Partial Scanning Transmission Electron Microscopy with Deep Learning
Partial Scanning Transmission Electron Microscopy with Deep Learning
Jeffrey M. Ede
R. Beanland
MedIm
137
22
0
31 May 2019
All SMILES Variational Autoencoder
All SMILES Variational Autoencoder
Zaccary Alperstein
Artem Cherkasov
J. Rolfe
DRL
74
38
0
30 May 2019
A Review of Deep Learning with Special Emphasis on Architectures,
  Applications and Recent Trends
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta
Sanchita Basak
P. Saikia
Sayak Paul
Vasilios Tsalavoutis
Frederick Ditliac Atiah
V. Ravi
R. Peters
AI4CE
169
348
0
30 May 2019
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video
  Architectures
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures
Michael S. Ryoo
A. Piergiovanni
Mingxing Tan
A. Angelova
93
102
0
30 May 2019
Hierarchical Transformers for Multi-Document Summarization
Hierarchical Transformers for Multi-Document Summarization
Yang Liu
Mirella Lapata
152
298
0
30 May 2019
Controllable Unsupervised Text Attribute Transfer via Editing Entangled
  Latent Representation
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation
Ke Wang
Hang Hua
Xiaojun Wan
82
89
0
30 May 2019
A survey of Object Classification and Detection based on 2D/3D data
A survey of Object Classification and Detection based on 2D/3D data
Xiaoke Shen
3DPC
59
26
0
29 May 2019
Hierarchical Feature Aggregation Networks for Video Action Recognition
Hierarchical Feature Aggregation Networks for Video Action Recognition
Swathikiran Sudhakaran
Sergio Escalera
Oswald Lanz
FAtt
49
8
0
29 May 2019
Attention Based Pruning for Shift Networks
Attention Based Pruning for Shift Networks
G. B. Hacene
Carlos Lassance
Vincent Gripon
Matthieu Courbariaux
Yoshua Bengio
98
25
0
29 May 2019
Texture CNN for Histopathological Image Classification
Texture CNN for Histopathological Image Classification
Jonathan de Matos
A. Britto
Luiz Eduardo Soares de Oliveira
Alessandro Lameiras Koerich
33
16
0
28 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
283
18,338
0
28 May 2019
Revisiting Low-Resource Neural Machine Translation: A Case Study
Revisiting Low-Resource Neural Machine Translation: A Case Study
Rico Sennrich
Biao Zhang
76
223
0
28 May 2019
Cross-Domain Transferability of Adversarial Perturbations
Cross-Domain Transferability of Adversarial Perturbations
Muzammal Naseer
Salman H. Khan
M. H. Khan
Fahad Shahbaz Khan
Fatih Porikli
AAML
115
146
0
28 May 2019
Label Universal Targeted Attack
Label Universal Targeted Attack
Naveed Akhtar
M. Jalwana
Bennamoun
Ajmal Mian
AAML
67
5
0
27 May 2019
Object Discovery with a Copy-Pasting GAN
Object Discovery with a Copy-Pasting GAN
Relja Arandjelović
Andrew Zisserman
102
58
0
27 May 2019
Straight to Shapes++: Real-time Instance Segmentation Made More Accurate
Straight to Shapes++: Real-time Instance Segmentation Made More Accurate
Laurynas Miksys
Saumya Jetley
Michael Sapienza
Stuart Golodetz
Philip Torr
3DV
61
7
0
27 May 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for
  Deep Neural Networks
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
S. Thulasidasan
Gopinath Chennupati
J. Bilmes
Tanmoy Bhattacharya
S. Michalak
UQCV
109
546
0
27 May 2019
Feature Map Transform Coding for Energy-Efficient CNN Inference
Feature Map Transform Coding for Energy-Efficient CNN Inference
Brian Chmiel
Chaim Baskin
Ron Banner
Evgenii Zheltonozhskii
Yevgeny Yermolin
Alex Karbachevsky
A. Bronstein
A. Mendelson
89
26
0
26 May 2019
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Farshid Varno
Behrouz Haji Soleimani
Marzie Saghayi
Di-Jorio Lisa
Stan Matwin
AAML
34
6
0
25 May 2019
Adaptive, Distribution-Free Prediction Intervals for Deep Networks
Adaptive, Distribution-Free Prediction Intervals for Deep Networks
D. Kivaranovic
Kory D. Johnson
Hannes Leeb
OOD
200
89
0
25 May 2019
Stochastic Shared Embeddings: Data-driven Regularization of Embedding
  Layers
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Liwei Wu
Shuqing Li
Cho-Jui Hsieh
James Sharpnack
84
33
0
25 May 2019
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking
  Teacher-Student Networks
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
C. Duong
Khoa Luu
Kha Gia Quach
Ngan Le
CVBM
62
39
0
25 May 2019
Domain Adaptive Attention Learning for Unsupervised Person
  Re-Identification
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification
Yangru Huang
Peixi Peng
Yi Jin
Yidong Li
Junliang Xing
Shiming Ge
OOD
83
41
0
25 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering
Power up! Robust Graph Convolutional Network via Graph Powering
Ming Jin
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
AAMLGNN
125
27
0
24 May 2019
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel
  Orange
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel Orange
Xiaoye Sun
Gongyang Li
Shaoyun Xu
50
3
0
24 May 2019
Multi-Sample Dropout for Accelerated Training and Better Generalization
Multi-Sample Dropout for Accelerated Training and Better Generalization
H. Inoue
106
69
0
23 May 2019
Adversarially Robust Distillation
Adversarially Robust Distillation
Micah Goldblum
Liam H. Fowl
Soheil Feizi
Tom Goldstein
AAML
96
213
0
23 May 2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in
  Convolutional Networks
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
Xiang Li
Xiaolin Hu
Jian Yang
93
196
0
23 May 2019
Constrained Design of Deep Iris Networks
Constrained Design of Deep Iris Networks
Kien Nguyen
Clinton Fookes
Sridha Sridharan
CVBM3DV
63
19
0
23 May 2019
Spatial Sampling Network for Fast Scene Understanding
Spatial Sampling Network for Fast Scene Understanding
Davide Mazzini
Raimondo Schettini
3DPCSSeg
48
21
0
22 May 2019
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic
  Videos Based on Recurrent Convolutional Neural Networks
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks
Babak Namazi
G. Sankaranarayanan
V. Devarajan
39
13
0
22 May 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural
  Architecture Search
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
Youhei Akimoto
Shinichi Shirakawa
Nozomu Yoshinari
Kento Uchida
Shota Saito
K. Nishida
77
87
0
21 May 2019
S-Flow GAN
S-Flow GAN
Yakov Miron
Yona Coscas
GAN
70
5
0
21 May 2019
Dual-branch residual network for lung nodule segmentation
Dual-branch residual network for lung nodule segmentation
Haichao Cao
Hong Liu
E. Song
C. Hung
Guangzhi Ma
Xiangyang Xu
Renchao Jin
Jianguo Lu
43
110
0
21 May 2019
Deep Transfer Learning Methods for Colon Cancer Classification in
  Confocal Laser Microscopy Images
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images
N. Gessert
M. Bengs
L. Wittig
D. Drömann
T. Keck
Alexander Schlaefer
D. Ellebrecht
52
32
0
20 May 2019
Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded
  Systems
Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems
Sangkyun Lee
Jeonghyun Lee
28
5
0
20 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the
  Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer
  Domain
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
114
18
0
19 May 2019
What Do Adversarially Robust Models Look At?
What Do Adversarially Robust Models Look At?
Takahiro Itazuri
Yoshihiro Fukuhara
Hirokatsu Kataoka
Shigeo Morishima
32
5
0
19 May 2019
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling
Hao Zhang
Bo Chen
Long Tian
Zhengjue Wang
Mingyuan Zhou
DRL
67
7
0
18 May 2019
Seeker: Real-Time Interactive Search
Seeker: Real-Time Interactive Search
Ari Biswas
T. T. Pham
Michael Vogelsong
Benjamin Snyder
Houssam Nassif
35
13
0
17 May 2019
Transfer Learning based Detection of Diabetic Retinopathy from Small
  Dataset
Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset
Misgina Tsighe Hagos
Shri Kant
60
87
0
17 May 2019
Gmail Smart Compose: Real-Time Assisted Writing
Gmail Smart Compose: Real-Time Assisted Writing
Mengzhao Chen
Benjamin Lee
G. Bansal
Yuan Cao
Shuyuan Zhang
...
Yinan Wang
Andrew M. Dai
Zhiwen Chen
Timothy Sohn
Yonghui Wu
76
208
0
17 May 2019
Simple Black-box Adversarial Attacks
Simple Black-box Adversarial Attacks
Chuan Guo
Jacob R. Gardner
Yurong You
A. Wilson
Kilian Q. Weinberger
AAML
78
582
0
17 May 2019
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