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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 / 6,637 papers shown
Title
Sharing Attention Weights for Fast Transformer
Sharing Attention Weights for Fast Transformer
Tong Xiao
Yinqiao Li
Jingbo Zhu
Zhengtao Yu
Tongran Liu
90
52
0
26 Jun 2019
On the performance of residual block design alternatives in
  convolutional neural networks for end-to-end audio classification
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification
Javier Naranjo-Alcazar
Sergi Perez-Castanos
Irene Martín-Morató
P. Zuccarello
M. Cobos
30
7
0
26 Jun 2019
A Winograd-based Integrated Photonics Accelerator for Convolutional
  Neural Networks
A Winograd-based Integrated Photonics Accelerator for Convolutional Neural Networks
A. Mehrabian
M. Miscuglio
Yousra Alkabani
V. Sorger
T. El-Ghazawi
88
48
0
25 Jun 2019
New pointwise convolution in Deep Neural Networks through Extremely Fast
  and Non Parametric Transforms
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms
Joonhyun Jeong
Sung-Ho Bae
60
1
0
25 Jun 2019
ESNet: An Efficient Symmetric Network for Real-time Semantic
  Segmentation
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
Yu Wang
Quan Zhou
Xiaofu Wu
SSeg
64
60
0
24 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
101
125
0
23 Jun 2019
Flower Interaction Subsystem for a Precision Pollination Robot
Flower Interaction Subsystem for a Precision Pollination Robot
Jared Strader
Jennifer Nguyen
Christopher Tatsch
Yixin Du
Kyle Lassak
...
Ryan M. Watson
Henry Cerbone
Nicholas Ohi
Chizhao Yang
Yu Gu
23
21
0
21 Jun 2019
Adaptive Learning Rate Clipping Stabilizes Learning
Adaptive Learning Rate Clipping Stabilizes Learning
Jeffrey M. Ede
R. Beanland
54
39
0
21 Jun 2019
Placeto: Learning Generalizable Device Placement Algorithms for
  Distributed Machine Learning
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
Ravichandra Addanki
S. Venkatakrishnan
Shreyan Gupta
Hongzi Mao
Mohammad Alizadeh
OODOffRL
75
68
0
20 Jun 2019
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in
  Convolutional Neural Networks
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks
Adam Byerly
T. Kalganova
65
13
0
20 Jun 2019
A Strong Baseline and Batch Normalization Neck for Deep Person
  Re-identification
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
Hao Luo
Wei Jiang
Youzhi Gu
Fuxu Liu
Xingyu Liao
Shenqi Lai
Jianyang Gu
3DPC
95
523
0
19 Jun 2019
Light Field Saliency Detection with Deep Convolutional Networks
Light Field Saliency Detection with Deep Convolutional Networks
Jun Zhang
Yamei Liu
Shengping Zhang
R. Poppe
Meng Wang
64
85
0
19 Jun 2019
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly
  Representative Neural Architectures
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures
Hsin-Pai Cheng
Tunhou Zhang
Yukun Yang
Feng Yan
Shiyu Li
Harris Teague
H. Li
Yiran Chen
77
11
0
19 Jun 2019
XNAS: Neural Architecture Search with Expert Advice
XNAS: Neural Architecture Search with Expert Advice
Niv Nayman
Asaf Noy
T. Ridnik
Itamar Friedman
Rong Jin
Lihi Zelnik-Manor
85
129
0
19 Jun 2019
Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola
  using a DCNN Augmented with Handcrafted Texture Features
Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola using a DCNN Augmented with Handcrafted Texture Features
S. Mardanisamani
Farhad Maleki
Sara Hosseinzadeh Kassani
Sajith Rajapaksa
H. Duddu
...
S. Vail
C. Pozniak
I. Parkin
Ian Stavness
M. Eramian
46
44
0
18 Jun 2019
Learning Personalized Attribute Preference via Multi-task AUC
  Optimization
Learning Personalized Attribute Preference via Multi-task AUC Optimization
Zhiyong Yang
Qianqian Xu
Xiaochun Cao
Qingming Huang
32
5
0
18 Jun 2019
Modeling Music Modality with a Key-Class Invariant Pitch Chroma CNN
Modeling Music Modality with a Key-Class Invariant Pitch Chroma CNN
Anders Elowsson
A. Friberg
41
9
0
17 Jun 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Shuyu Cheng
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
AAML
94
274
0
17 Jun 2019
Mixture separability loss in a deep convolutional network for image
  classification
Mixture separability loss in a deep convolutional network for image classification
T. Do
Cheng-Bin Jin
Hakil Kim
Van Huan Nguyen
35
2
0
16 Jun 2019
Membership Privacy for Machine Learning Models Through Knowledge
  Transfer
Membership Privacy for Machine Learning Models Through Knowledge Transfer
Virat Shejwalkar
Amir Houmansadr
88
10
0
15 Jun 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation
Scalable Syntax-Aware Language Models Using Knowledge Distillation
A. Kuncoro
Chris Dyer
Laura Rimell
S. Clark
Phil Blunsom
146
26
0
14 Jun 2019
Factorized Higher-Order CNNs with an Application to Spatio-Temporal
  Emotion Estimation
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation
Jean Kossaifi
Antoine Toisoul
Adrian Bulat
Yannis Panagakis
Timothy M. Hospedales
Maja Pantic
CVBM
56
80
0
14 Jun 2019
Copy and Paste: A Simple But Effective Initialization Method for
  Black-Box Adversarial Attacks
Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks
T. Brunner
Frederik Diehl
Alois Knoll
AAML
44
8
0
14 Jun 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and
  Selection for Disentangling GANs
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Zinan Lin
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
DRL
110
37
0
14 Jun 2019
Stand-Alone Self-Attention in Vision Models
Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran
Niki Parmar
Ashish Vaswani
Irwan Bello
Anselm Levskaya
Jonathon Shlens
VLMSLRViT
173
1,218
0
13 Jun 2019
The iMaterialist Fashion Attribute Dataset
The iMaterialist Fashion Attribute Dataset
Sheng Guo
Weilin Huang
Xiao Zhang
Prasanna Srikhanta
Huayu Chen
Yuan Li
Matthew R. Scott
Hartwig Adam
Serge J. Belongie
VLM
98
78
0
13 Jun 2019
Keeping Notes: Conditional Natural Language Generation with a Scratchpad
  Mechanism
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism
Ryan Y. Benmalek
Madian Khabsa
Suma Desu
Claire Cardie
Michele Banko
61
6
0
12 Jun 2019
Presence-Only Geographical Priors for Fine-Grained Image Classification
Presence-Only Geographical Priors for Fine-Grained Image Classification
Oisin Mac Aodha
Elijah Cole
Pietro Perona
104
168
0
12 Jun 2019
Monotonic Infinite Lookback Attention for Simultaneous Machine
  Translation
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
N. Arivazhagan
Colin Cherry
Wolfgang Macherey
Chung-Cheng Chiu
Semih Yavuz
Ruoming Pang
Wei Li
Colin Raffel
CLL
101
196
0
12 Jun 2019
Instant automatic diagnosis of diabetic retinopathy
Instant automatic diagnosis of diabetic retinopathy
G. Quellec
M. Lamard
B. Laÿ
Alexandre Le Guilcher
A. Erginay
B. Cochener
P. Massin
55
9
0
12 Jun 2019
Indoor image representation by high-level semantic features
Indoor image representation by high-level semantic features
C. Sitaula
Yong Xiang
Yushu Zhang
Xuequan Lu
Sunil Aryal
54
15
0
12 Jun 2019
Pay Attention to Convolution Filters: Towards Fast and Accurate
  Fine-Grained Transfer Learning
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning
Xiangxi Mo
Ruizhe Cheng
Tianyi Fang
35
3
0
12 Jun 2019
Deep Visual Re-Identification with Confidence
Deep Visual Re-Identification with Confidence
George Adaimi
S. Kreiss
Alexandre Alahi
73
8
0
11 Jun 2019
Generating Summaries with Topic Templates and Structured Convolutional
  Decoders
Generating Summaries with Topic Templates and Structured Convolutional Decoders
Laura Perez-Beltrachini
Yang Liu
Mirella Lapata
63
41
0
11 Jun 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient
  Black-box Attacks
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Ziang Yan
Yiwen Guo
Changshui Zhang
AAML
79
111
0
11 Jun 2019
Association of genomic subtypes of lower-grade gliomas with shape
  features automatically extracted by a deep learning algorithm
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
Mateusz Buda
Ashirbani Saha
Maciej A. Mazurowski
115
273
0
09 Jun 2019
Four Things Everyone Should Know to Improve Batch Normalization
Four Things Everyone Should Know to Improve Batch Normalization
Cecilia Summers
M. Dinneen
85
52
0
09 Jun 2019
In Situ Cane Toad Recognition
In Situ Cane Toad Recognition
D. Konovalov
Simindokht Jahangard
L. Schwarzkopf
16
5
0
09 Jun 2019
Attending to Discriminative Certainty for Domain Adaptation
Attending to Discriminative Certainty for Domain Adaptation
V. Kurmi
Shanu Kumar
Vinay P. Namboodiri
OOD
83
108
0
08 Jun 2019
Sensitivity of Deep Convolutional Networks to Gabor Noise
Sensitivity of Deep Convolutional Networks to Gabor Noise
Kenneth T. Co
Luis Muñoz-González
Emil C. Lupu
AAML
28
6
0
08 Jun 2019
Making targeted black-box evasion attacks effective and efficient
Making targeted black-box evasion attacks effective and efficient
Mika Juuti
B. Atli
Nadarajah Asokan
AAMLMIACVMLAU
49
8
0
08 Jun 2019
Efficient Project Gradient Descent for Ensemble Adversarial Attack
Efficient Project Gradient Descent for Ensemble Adversarial Attack
Fanyou Wu
R. Gazo
E. Haviarova
Bedrich Benes
AAML
33
5
0
07 Jun 2019
A deep learning approach for automated detection of geographic atrophy
  from color fundus photographs
A deep learning approach for automated detection of geographic atrophy from color fundus photographs
T. Keenan
S. Dharssi
Yifan Peng
Qingyu Chen
Elvira Agrón
W. Wong
Zhiyong Lu
E. Chew
23
59
0
07 Jun 2019
Audio tagging with noisy labels and minimal supervision
Audio tagging with noisy labels and minimal supervision
Eduardo Fonseca
Manoj Plakal
F. Font
D. Ellis
Xavier Serra
123
93
0
07 Jun 2019
Understanding and Improving Transformer From a Multi-Particle Dynamic
  System Point of View
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
Yiping Lu
Zhuohan Li
Di He
Zhiqing Sun
Bin Dong
Tao Qin
Liwei Wang
Tie-Yan Liu
AI4CE
84
176
0
06 Jun 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
246
1,962
0
06 Jun 2019
OutdoorSent: Sentiment Analysis of Urban Outdoor Images by Using
  Semantic and Deep Features
OutdoorSent: Sentiment Analysis of Urban Outdoor Images by Using Semantic and Deep Features
W. B. D. Oliveira
L. Dorini
Rodrigo Minetto
Thiago H. Silva
25
12
0
05 Jun 2019
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via
  Perturbation
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation
Minh Nhat Vu
Truc D. T. Nguyen
Nhathai Phan
Ralucca Gera
My T. Thai
AAMLFAtt
79
22
0
05 Jun 2019
Farm land weed detection with region-based deep convolutional neural
  networks
Farm land weed detection with region-based deep convolutional neural networks
Mohammad Ibrahim Sarker
Hyongsuk Kim
30
8
0
05 Jun 2019
Geo-Aware Networks for Fine-Grained Recognition
Geo-Aware Networks for Fine-Grained Recognition
Grace Chu
B. Potetz
Weijun Wang
Andrew G. Howard
Yang Song
Fernando Brucher
Thomas Leung
Hartwig Adam
ObjD
72
86
0
04 Jun 2019
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