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Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

23 February 2016
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
ArXivPDFHTML

Papers citing "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning"

50 / 2,388 papers shown
Title
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine
  Collaboration in Breast Cancer Diagnosis
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis
Nesreen Ahmed
Theodore L. Willke
M. Schaar
14
32
0
30 Oct 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks
Learning and Interpreting Multi-Multi-Instance Learning Networks
Alessandro Tibo
M. Jaeger
P. Frasconi
AI4CE
19
23
0
26 Oct 2018
Applying Deep Learning To Airbnb Search
Applying Deep Learning To Airbnb Search
Malay Haldar
Mustafa Abdool
Prashant Ramanathan
Tao Xu
Shulin Yang
...
Qing Zhang
Nick Barrow-Williams
B. Turnbull
Brendan M. Collins
Thomas Legrand
DML
15
83
0
22 Oct 2018
Dermatologist Level Dermoscopy Skin Cancer Classification Using
  Different Deep Learning Convolutional Neural Networks Algorithms
Dermatologist Level Dermoscopy Skin Cancer Classification Using Different Deep Learning Convolutional Neural Networks Algorithms
Amirreza Rezvantalab
H. Safigholi
Somayeh Karimijeshni
19
104
0
21 Oct 2018
Machine Learning Methods for Track Classification in the AT-TPC
Machine Learning Methods for Track Classification in the AT-TPC
M. Kuchera
R. Ramanujan
Jack Z. Taylor
R. Strauss
D. Bazin
J. Bradt
Ruiming Chen
16
32
0
21 Oct 2018
S-Net: A Scalable Convolutional Neural Network for JPEG Compression
  Artifact Reduction
S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction
Bolun Zheng
Rui Sun
Xiang Tian
Yao-wu Chen
22
21
0
18 Oct 2018
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation
Song Li
Geoffrey Tso
SSeg
14
17
0
16 Oct 2018
Unsupervised Deep Features for Remote Sensing Image Matching via
  Discriminator Network
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network
Fnu Mohbat
Numan Khurshid
M. Taj
18
15
0
15 Oct 2018
Quantization for Rapid Deployment of Deep Neural Networks
Quantization for Rapid Deployment of Deep Neural Networks
J. Lee
Sangwon Ha
Saerom Choi
Won-Jo Lee
Seungwon Lee
MQ
14
48
0
12 Oct 2018
Sanity Checks for Saliency Maps
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAtt
AAML
XAI
37
1,927
0
08 Oct 2018
Triple Attention Mixed Link Network for Single Image Super Resolution
Triple Attention Mixed Link Network for Single Image Super Resolution
Xi Cheng
Xiang Li
Jian Yang
SupR
19
9
0
08 Oct 2018
Deep Model-Based 6D Pose Refinement in RGB
Deep Model-Based 6D Pose Refinement in RGB
Fabian Manhardt
Wadim Kehl
Nassir Navab
Federico Tombari
3DH
16
167
0
07 Oct 2018
CSI-Net: Unified Human Body Characterization and Pose Recognition
CSI-Net: Unified Human Body Characterization and Pose Recognition
Fei-Yue Wang
Jinsong Han
Shiyuan Zhang
Xuming He
Dong Huang
CVBM
19
13
0
07 Oct 2018
Weakly Supervised Object Detection in Artworks
Weakly Supervised Object Detection in Artworks
Nicolas Gonthier
Y. Gousseau
Saïd Ladjal
Olivier Bonfait
ObjD
17
70
0
05 Oct 2018
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Ashnil Kumar
M. Fulham
D. Feng
Jinman Kim
MedIm
27
165
0
05 Oct 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones
AI Benchmark: Running Deep Neural Networks on Android Smartphones
Andrey D. Ignatov
Radu Timofte
William Chou
Ke Wang
Max Wu
Tim Hartley
Luc Van Gool
ELM
16
320
0
02 Oct 2018
NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural
  Networks
NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural Networks
C. Termritthikun
S. Kanprachar
P. Muneesawang
14
20
0
02 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep
  Convolutional Networks
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks
Kenneth T. Co
Luis Muñoz-González
Sixte de Maupeou
Emil C. Lupu
AAML
19
67
0
30 Sep 2018
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse
Sangkug Lym
Armand Behroozi
W. Wen
Ge Li
Yongkee Kwon
M. Erez
12
25
0
30 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
21
123
0
10 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
70
2,419
0
06 Sep 2018
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for
  Efficient Object Detection
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection
Wenchi Ma
Yuanwei Wu
Zongbo Wang
Guanghui Wang
ObjD
22
25
0
06 Sep 2018
Hierarchical binary CNNs for landmark localization with limited
  resources
Hierarchical binary CNNs for landmark localization with limited resources
Adrian Bulat
Georgios Tzimiropoulos
CVBM
3DV
18
36
0
14 Aug 2018
Explaining the Unique Nature of Individual Gait Patterns with Deep
  Learning
Explaining the Unique Nature of Individual Gait Patterns with Deep Learning
Fabian Horst
Sebastian Lapuschkin
Wojciech Samek
K. Müller
W. Schöllhorn
AI4CE
15
207
0
13 Aug 2018
BACH: Grand Challenge on Breast Cancer Histology Images
BACH: Grand Challenge on Breast Cancer Histology Images
Guilherme Aresta
Teresa Araújo
S. Kwok
Sai Saketh Chennamsetty
P. MohammedSafwanK.
...
L. Boulmane
A. Campilho
C. Eloy
A. Polónia
Paulo Aguiar
31
558
0
13 Aug 2018
The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary
The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary
Guohao Li
Juan Carlos Niebles
Cees G. M. Snoek
Fabian Caba Heilbron
Humam Alwassel
Victor Escorcia
Ranjay Krishna
S. Buch
Cuong Duc Dao
42
65
0
11 Aug 2018
Training Compact Neural Networks with Binary Weights and Low Precision
  Activations
Training Compact Neural Networks with Binary Weights and Low Precision Activations
Bohan Zhuang
Chunhua Shen
Ian Reid
MQ
13
14
0
08 Aug 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the
  Robustness of 18 Deep Image Classification Models
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
D. Su
Huan Zhang
Hongge Chen
Jinfeng Yi
Pin-Yu Chen
Yupeng Gao
VLM
18
387
0
05 Aug 2018
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action
  Classification
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification
Yang Du
Chunfen Yuan
Bing Li
Lili Zhao
Yangxi Li
Weiming Hu
81
79
0
03 Aug 2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
Sheng Guo
Weilin Huang
Haozhi Zhang
Chenfan Zhuang
Dengke Dong
Matthew R. Scott
Dinglong Huang
SSL
18
338
0
03 Aug 2018
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver
  Segmentation
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation
Minyoung Chung
Jingyu Lee
Minkyung Lee
Jeongjin Lee
Y. Shin
MedIm
11
27
0
02 Aug 2018
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship
  Features
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
Xu Yang
Hanwang Zhang
Jianfei Cai
42
74
0
01 Aug 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human
  Activity Recognition
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition
Zhan Yang
Osolo Ian Raymond
Chengyuan Zhang
Ying Wan
J. Long
CVBM
34
36
0
31 Jul 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
51
4,922
0
30 Jul 2018
Supporting Very Large Models using Automatic Dataflow Graph Partitioning
Supporting Very Large Models using Automatic Dataflow Graph Partitioning
Minjie Wang
Chien-chin Huang
Jinyang Li
35
154
0
24 Jul 2018
Skeletal Movement to Color Map: A Novel Representation for 3D Action
  Recognition with Inception Residual Networks
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks
H. Pham
L. Khoudour
Alain Crouzil
Pablo Zegers
S. Velastín
19
16
0
18 Jul 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
82
16,142
0
17 Jul 2018
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta
  Analysis with Ultrasound
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound
N. Savioli
S. Visentin
E. Cosmi
Enrico Grisan
P. Lamata
Giovanni Montana
MedIm
9
1
0
11 Jul 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for
  Visual and Speech Recognition
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen
Quanfu Fan
Neil Rohit Mallinar
Tom Sercu
Rogerio Feris
20
96
0
10 Jul 2018
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary
  Neural Network Inference
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference
Francesco Conti
Pasquale Davide Schiavone
Luca Benini
24
108
0
09 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against
  Adversarial Attacks
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks
Saeid Asgari Taghanaki
A. Das
Ghassan Hamarneh
MedIm
29
52
0
09 Jul 2018
Restructuring Batch Normalization to Accelerate CNN Training
Restructuring Batch Normalization to Accelerate CNN Training
Wonkyung Jung
Daejin Jung
and Byeongho Kim
Sunjung Lee
Wonjong Rhee
Jung Ho Ahn
21
62
0
04 Jul 2018
Dropout-based Active Learning for Regression
Dropout-based Active Learning for Regression
Evgenii Tsymbalov
Maxim Panov
Alexander Shapeev
BDL
UQCV
6
56
0
26 Jun 2018
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image
  Annotation
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation
Mykhaylo Andriluka
J. Uijlings
V. Ferrari
VLM
24
81
0
20 Jun 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer
  Learning
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Huayu Chen
Yang Song
Chen Sun
Andrew G. Howard
Serge J. Belongie
25
475
0
16 Jun 2018
Training Faster by Separating Modes of Variation in Batch-normalized
  Models
Training Faster by Separating Modes of Variation in Batch-normalized Models
Mahdi M. Kalayeh
M. Shah
21
42
0
07 Jun 2018
Path-Level Network Transformation for Efficient Architecture Search
Path-Level Network Transformation for Efficient Architecture Search
Han Cai
Jiacheng Yang
Weinan Zhang
Song Han
Yong Yu
27
210
0
07 Jun 2018
3D Human Pose Estimation with 2D Marginal Heatmaps
3D Human Pose Estimation with 2D Marginal Heatmaps
Aiden Nibali
Zhen He
Stuart Morgan
L. Prendergast
3DH
38
94
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
97
3,078
0
04 Jun 2018
Hierarchical Attention-Based Recurrent Highway Networks for Time Series
  Prediction
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction
Yunzhe Tao
Lin Ma
Weizhong Zhang
Jian-Dong Liu
Wei Liu
Q. Du
AI4TS
9
25
0
02 Jun 2018
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