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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 / 6,586 papers shown
Title
End-to-end Learning of a Fisher Vector Encoding for Part Features in
  Fine-grained Recognition
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition
D. Korsch
P. Bodesheim
Joachim Denzler
41
8
0
04 Jul 2020
Image-based Vehicle Re-identification Model with Adaptive Attention
  Modules and Metadata Re-ranking
Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking
Quang Truong
Hy Dang
Zhankai Ye
Minh Le Nguyen
B. Mei
40
0
0
03 Jul 2020
Multiple Expert Brainstorming for Domain Adaptive Person
  Re-identification
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
Yunpeng Zhai
QiXiang Ye
Shijian Lu
Mengxi Jia
Rongrong Ji
Yonghong Tian
70
164
0
03 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Farshid Varno
Lucas May Petry
Lisa Di-Jorio
Stan Matwin
CLL
60
2
0
02 Jul 2020
Tilted Empirical Risk Minimization
Tilted Empirical Risk Minimization
Tian Li
Ahmad Beirami
Maziar Sanjabi
Virginia Smith
91
135
0
02 Jul 2020
Channel Compression: Rethinking Information Redundancy among Channels in
  CNN Architecture
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture
Jinhua Liang
Tao Zhang
Guoqing Feng
48
18
0
02 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML
  Models: A Survey and Insights
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave
Riyadh Baghdadi
Tony Nowatzki
Sasikanth Avancha
Aviral Shrivastava
Baoxin Li
114
85
0
02 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A
  Survey
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
S. Silva
Peyman Najafirad
AAMLOOD
104
135
0
01 Jul 2020
Adversarial Example Games
Adversarial Example Games
A. Bose
Gauthier Gidel
Hugo Berrard
Andre Cianflone
Pascal Vincent
Simon Lacoste-Julien
William L. Hamilton
AAMLGAN
100
52
0
01 Jul 2020
Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet
Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet
Hao Chen
Abhinav Shrivastava
57
14
0
01 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
130
549
0
01 Jul 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
101
485
0
30 Jun 2020
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for
  Vehicle Type, Make and Model Classification
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification
Xingyang Ni
H. Huttunen
CVBM
33
20
0
29 Jun 2020
Improving Calibration through the Relationship with Adversarial
  Robustness
Improving Calibration through the Relationship with Adversarial Robustness
Yao Qin
Xuezhi Wang
Alex Beutel
Ed H. Chi
AAML
86
25
0
29 Jun 2020
Multi-level colonoscopy malignant tissue detection with adversarial
  CAC-UNet
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
Chuang Zhu
Ke Mei
T. Peng
Yihao Luo
Jun Liu
Ying Wang
M. Jin
61
21
0
29 Jun 2020
Laplacian Regularized Few-Shot Learning
Laplacian Regularized Few-Shot Learning
Imtiaz Masud Ziko
Jose Dolz
Eric Granger
Ismail Ben Ayed
82
176
0
28 Jun 2020
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact
  Convolutional Neural Networks
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
Rajat Saini
N. Jha
B. K. Das
Sparsh Mittal
C.Krishna Mohan
68
83
0
26 Jun 2020
The Ramifications of Making Deep Neural Networks Compact
The Ramifications of Making Deep Neural Networks Compact
N. Jha
Sparsh Mittal
Govardhan Mattela
61
14
0
26 Jun 2020
Ensemble Transfer Learning for Emergency Landing Field Identification on
  Moderate Resource Heterogeneous Kubernetes Cluster
Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster
Andreas Klos
Marius Rosenbaum
W. Schiffmann
23
3
0
26 Jun 2020
A Co-Design Framework of Neural Networks and Quantum Circuits Towards
  Quantum Advantage
A Co-Design Framework of Neural Networks and Quantum Circuits Towards Quantum Advantage
Weiwen Jiang
Jinjun Xiong
Yiyu Shi
88
77
0
26 Jun 2020
SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans
SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans
Angela Dai
Yawar Siddiqui
Justus Thies
Julien P. C. Valentin
Matthias Nießner
70
41
0
25 Jun 2020
LayoutTransformer: Layout Generation and Completion with Self-attention
LayoutTransformer: Layout Generation and Completion with Self-attention
Kamal Gupta
Justin Lazarow
Alessandro Achille
Larry S. Davis
Vijay Mahadevan
Abhinav Shrivastava
ViT
108
137
0
25 Jun 2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Yasin Yazici
Chuan-Sheng Foo
Stefan Winkler
Kim-Hui Yap
V. Chandrasekhar
89
32
0
25 Jun 2020
Neural Architecture Design for GPU-Efficient Networks
Neural Architecture Design for GPU-Efficient Networks
Ming Lin
Hesen Chen
Xiuyu Sun
Qi Qian
Hao Li
Rong Jin
GNN
95
20
0
24 Jun 2020
Class-Similarity Based Label Smoothing for Confidence Calibration
Class-Similarity Based Label Smoothing for Confidence Calibration
Chihuang Liu
Joseph Jaja
UQCV
55
1
0
24 Jun 2020
Road obstacles positional and dynamic features extraction combining
  object detection, stereo disparity maps and optical flow data
Road obstacles positional and dynamic features extraction combining object detection, stereo disparity maps and optical flow data
Thiago Rateke
A. V. Wangenheim
32
6
0
24 Jun 2020
A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19
  Infection from Chest CT-Scan
A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection from Chest CT-Scan
Abdolkarim Saeedi
Maryam Saeedi
Arash Maghsoudi
65
29
0
24 Jun 2020
Retrospective Loss: Looking Back to Improve Training of Deep Neural
  Networks
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks
Surgan Jandial
Ayush Chopra
Mausoom Sarkar
Piyush B. Gupta
Balaji Krishnamurthy
V. Balasubramanian
24
4
0
24 Jun 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
F. Wenzel
Jasper Snoek
Dustin Tran
Rodolphe Jenatton
UQCV
101
212
0
24 Jun 2020
Normalized Loss Functions for Deep Learning with Noisy Labels
Normalized Loss Functions for Deep Learning with Noisy Labels
Xingjun Ma
Hanxun Huang
Yisen Wang
Simone Romano
S. Erfani
James Bailey
NoLa
78
446
0
24 Jun 2020
GIFnets: Differentiable GIF Encoding Framework
GIFnets: Differentiable GIF Encoding Framework
Innfarn Yoo
Xiyang Luo
Yilin Wang
Feng Yang
P. Milanfar
45
4
0
24 Jun 2020
Facing the Hard Problems in FGVC
Facing the Hard Problems in FGVC
Connor Anderson
M. Gwilliam
Adam Teuscher
Andrew Merrill
Ryan Farrell
46
5
1
23 Jun 2020
Rapid Response Crop Maps in Data Sparse Regions
Rapid Response Crop Maps in Data Sparse Regions
Hannah Kerner
Gabriel Tseng
I. Becker-Reshef
C. Nakalembe
B. Barker
Blake Munshell
Madhava Paliyam
M. Hosseini
72
34
0
23 Jun 2020
DCNNs: A Transfer Learning comparison of Full Weapon Family threat
  detection for Dual-Energy X-Ray Baggage Imagery
DCNNs: A Transfer Learning comparison of Full Weapon Family threat detection for Dual-Energy X-Ray Baggage Imagery
Ashley Williamson
Patrick Dickinson
Tryphon Lambrou
John Murray
8
0
0
23 Jun 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack
RayS: A Ray Searching Method for Hard-label Adversarial Attack
Jinghui Chen
Quanquan Gu
AAML
85
139
0
23 Jun 2020
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image
  Classification
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification
Jingtian Peng
Chang Xiao
Yifan Li
75
45
0
22 Jun 2020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
Xuxi Chen
Wuyang Chen
Tianlong Chen
Ye Yuan
Chen Gong
Kewei Chen
Zhangyang Wang
85
81
0
22 Jun 2020
Slimming Neural Networks using Adaptive Connectivity Scores
Slimming Neural Networks using Adaptive Connectivity Scores
Madan Ravi Ganesh
Dawsin Blanchard
Jason J. Corso
Salimeh Yasaei Sekeh
61
11
0
22 Jun 2020
A Survey on Analyzing Encrypted Network Traffic of Mobile Devices
A Survey on Analyzing Encrypted Network Traffic of Mobile Devices
Ashutosh Bhatia
Ankit Agrawal
Kamlesh Tiwari
K. Haribabu
D. Vishwakarma
17
19
0
22 Jun 2020
Flood severity mapping from Volunteered Geographic Information by
  interpreting water level from images containing people: a case study of
  Hurricane Harvey
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: a case study of Hurricane Harvey
Yu Feng
C. Brenner
Monika Sester
43
67
0
21 Jun 2020
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture
  Search
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang
Yuzhu Sun
Qian Zhang
Kangjian Peng
Yuan Li
Wenyu Liu
Xinggang Wang
SSeg
118
34
0
21 Jun 2020
Towards Understanding Label Smoothing
Towards Understanding Label Smoothing
Yi Tian Xu
Yuanhong Xu
Qi Qian
Hao Li
Rong Jin
UQCV
55
42
0
20 Jun 2020
FaceHack: Triggering backdoored facial recognition systems using facial
  characteristics
FaceHack: Triggering backdoored facial recognition systems using facial characteristics
Esha Sarkar
Hadjer Benkraouda
Michail Maniatakos
AAML
78
39
0
20 Jun 2020
Calibration of Model Uncertainty for Dropout Variational Inference
Calibration of Model Uncertainty for Dropout Variational Inference
M. Laves
Sontje Ihler
Karl-Philipp Kortmann
T. Ortmaier
BDLUQCV
121
18
0
20 Jun 2020
Pyramidal Convolution: Rethinking Convolutional Neural Networks for
  Visual Recognition
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
Ionut Cosmin Duta
Li Liu
Fan Zhu
Ling Shao
70
198
0
20 Jun 2020
COVIDLite: A depth-wise separable deep neural network with white balance
  and CLAHE for detection of COVID-19
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19
Manu Siddhartha
Avik Santra
46
44
0
19 Jun 2020
Spin-Weighted Spherical CNNs
Spin-Weighted Spherical CNNs
Carlos Esteves
A. Makadia
Kostas Daniilidis
100
70
0
18 Jun 2020
Cyclic Differentiable Architecture Search
Cyclic Differentiable Architecture Search
Hongyuan Yu
Houwen Peng
Yan Huang
Jianlong Fu
Hao Du
Liang Wang
Haibin Ling
3DPC
97
48
0
18 Jun 2020
Multi-Encoder-Decoder Transformer for Code-Switching Speech Recognition
Multi-Encoder-Decoder Transformer for Code-Switching Speech Recognition
Xinyuan Zhou
Emre Yilmaz
Yanhua Long
Yijie Li
Haizhou Li
80
52
0
18 Jun 2020
Self-and-Mixed Attention Decoder with Deep Acoustic Structure for
  Transformer-based LVCSR
Self-and-Mixed Attention Decoder with Deep Acoustic Structure for Transformer-based LVCSR
Xinyuan Zhou
Grandee Lee
Emre Yilmaz
Yanhua Long
Jiaen Liang
Haizhou Li
55
7
0
18 Jun 2020
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