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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 / 6,589 papers shown
Title
Traffic Signs Detection and Recognition System using Deep Learning
Traffic Signs Detection and Recognition System using Deep Learning
Pavly Salah Zaki
Marco Magdy William
Bolis Karam Soliman
Kerolos Gamal Alexsan
Keroles K. Khalil
M. El-Moursy
56
42
0
06 Mar 2020
Does label smoothing mitigate label noise?
Does label smoothing mitigate label noise?
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Surinder Kumar
NoLa
208
352
0
05 Mar 2020
Search Space of Adversarial Perturbations against Image Filters
Search Space of Adversarial Perturbations against Image Filters
D. D. Thang
Toshihiro Matsui
AAML
31
1
0
05 Mar 2020
AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture
Tri-Cong Pham
C. Luong
Van-Dung Hoang
A. Doucet
59
7
0
05 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust
  Generalization
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Saehyung Lee
Hyungyu Lee
Sungroh Yoon
AAML
252
119
0
05 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search
Real-time Federated Evolutionary Neural Architecture Search
Hangyu Zhu
Yaochu Jin
FedML
202
73
0
04 Mar 2020
Double Backpropagation for Training Autoencoders against Adversarial
  Attack
Double Backpropagation for Training Autoencoders against Adversarial Attack
Chengjin Sun
Sizhe Chen
Xiaolin Huang
SILMAAML
76
5
0
04 Mar 2020
GarmentGAN: Photo-realistic Adversarial Fashion Transfer
GarmentGAN: Photo-realistic Adversarial Fashion Transfer
Amir Hossein Raffiee
Michael Sollami
GAN
101
38
0
04 Mar 2020
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are
  Failing to Reproduce Spectral Distributions
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
Ricard Durall
Margret Keuper
J. Keuper
91
338
0
03 Mar 2020
Deep Learning Approach to Diabetic Retinopathy Detection
Deep Learning Approach to Diabetic Retinopathy Detection
B. Tymchenko
Philip Marchenko
D. Spodarets
61
164
0
03 Mar 2020
ElixirNet: Relation-aware Network Architecture Adaptation for Medical
  Lesion Detection
ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection
Chenhan Jiang
Shaoju Wang
Hang Xu
Xiaodan Liang
Nong Xiao
MedIm
52
15
0
03 Mar 2020
Gastric histopathology image segmentation using a hierarchical
  conditional random field
Gastric histopathology image segmentation using a hierarchical conditional random field
Changhao Sun
Chen Li
Jinghua Zhang
Muhammad Rahaman
Shiliang Ai
Hao Chen
Frank Kulwa
Yixin Li
Xiaoyan Li
Tao Jiang
109
47
0
03 Mar 2020
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller,
  Faster, and Better
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better
Yuhua Chen
A. Christodoulou
Zhengwei Zhou
Feng Shi
Yibin Xie
Debiao Li
MedImSupR
59
44
0
02 Mar 2020
Transformer++
Transformer++
Prakhar Thapak
P. Hore
16
0
0
02 Mar 2020
Fabric Defect Detection Using Vision-Based Tactile Sensor
Fabric Defect Detection Using Vision-Based Tactile Sensor
Bin Fang
Xingming Long
Yifang Zhang
GuoYi Luo
Gang Hua
Huaping Liu
38
12
0
02 Mar 2020
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes
Rashik Shadman
M. G. Sarwar Murshed
E. Verenich
Alvaro Velasquez
Faraz Hussain
40
4
0
29 Feb 2020
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on
  Multiobjective Bilevel Optimisation
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation
Javier Carnerero-Cano
Luis Muñoz-González
P. Spencer
Emil C. Lupu
AAML
108
11
0
28 Feb 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model
  Pre-Training
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
Hangbo Bao
Li Dong
Furu Wei
Wenhui Wang
Nan Yang
...
Yu Wang
Songhao Piao
Jianfeng Gao
Ming Zhou
H. Hon
AI4CE
88
397
0
28 Feb 2020
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured
  2D Data
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data
Sebastian Lunz
Yingzhen Li
Andrew Fitzgibbon
Nate Kushman
3DVGAN
67
54
0
28 Feb 2020
A Novel Measure to Evaluate Generative Adversarial Networks Based on
  Direct Analysis of Generated Images
A Novel Measure to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images
Shuyue Guan
Murray H. Loew
EGVM
53
12
0
27 Feb 2020
A Distributional Framework for Data Valuation
A Distributional Framework for Data Valuation
Amirata Ghorbani
Michael P. Kim
James Zou
TDI
54
133
0
27 Feb 2020
Advances in Collaborative Filtering and Ranking
Advances in Collaborative Filtering and Ranking
Liwei Wu
42
7
0
27 Feb 2020
Topology Distance: A Topology-Based Approach For Evaluating Generative
  Adversarial Networks
Topology Distance: A Topology-Based Approach For Evaluating Generative Adversarial Networks
Danijela Horak
Simiao Yu
G. Salimi-Khorshidi
EGVM
58
16
0
27 Feb 2020
Disentangling Image Distortions in Deep Feature Space
Disentangling Image Distortions in Deep Feature Space
Simone Bianco
Luigi Celona
Paolo Napoletano
25
14
0
26 Feb 2020
Rethinking the Route Towards Weakly Supervised Object Localization
Rethinking the Route Towards Weakly Supervised Object Localization
Chen-Da Liu-Zhang
Yunhao Cao
Jianxin Wu
WSOL
94
100
0
26 Feb 2020
Adversarial Ranking Attack and Defense
Adversarial Ranking Attack and Defense
Mo Zhou
Zhenxing Niu
Le Wang
Qilin Zhang
G. Hua
150
39
0
26 Feb 2020
On Feature Normalization and Data Augmentation
On Feature Normalization and Data Augmentation
Boyi Li
Felix Wu
Ser-Nam Lim
Serge J. Belongie
Kilian Q. Weinberger
56
137
0
25 Feb 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression
  of Pre-Trained Transformers
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang
Furu Wei
Li Dong
Hangbo Bao
Nan Yang
Ming Zhou
VLM
243
1,285
0
25 Feb 2020
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge
Hung Le
Nancy F. Chen
57
9
0
25 Feb 2020
A Model-Based Derivative-Free Approach to Black-Box Adversarial
  Examples: BOBYQA
A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA
Giuseppe Ughi
V. Abrol
Jared Tanner
AAML
41
3
0
24 Feb 2020
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image
  Retrieval
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval
A. Bhunia
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
127
104
0
24 Feb 2020
When Relation Networks meet GANs: Relation GANs with Triplet Loss
When Relation Networks meet GANs: Relation GANs with Triplet Loss
Runmin Wu
Kunyao Zhang
Lijun Wang
Yue Wang
Pingping Zhang
Huchuan Lu
Yizhou Yu
GAN
24
0
0
24 Feb 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural
  Networks
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
Yehui Tang
Yunhe Wang
Yixing Xu
Boxin Shi
Chao Xu
Chunjing Xu
Chang Xu
69
38
0
23 Feb 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
J. Breier
Dirmanto Jap
Xiaolu Hou
S. Bhasin
Yang Liu
75
53
0
23 Feb 2020
Neuron Shapley: Discovering the Responsible Neurons
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani
James Zou
FAttTDI
63
114
0
23 Feb 2020
Fine-Grained Instance-Level Sketch-Based Video Retrieval
Fine-Grained Instance-Level Sketch-Based Video Retrieval
Peng Xu
Kun Liu
Tao Xiang
Timothy M. Hospedales
Zhanyu Ma
Jun Guo
Yi-Zhe Song
105
33
0
21 Feb 2020
Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks
Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks
Xin Guo
Luisa F. Polanía
Kenneth Barner
28
6
0
20 Feb 2020
Do We Need Zero Training Loss After Achieving Zero Training Error?
Do We Need Zero Training Loss After Achieving Zero Training Error?
Takashi Ishida
Ikko Yamane
Tomoya Sakai
Gang Niu
Masashi Sugiyama
AI4CE
74
137
0
20 Feb 2020
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset
Yingtao Tian
Chikahiko Suzuki
Tarin Clanuwat
Mikel Bober-Irizar
Alex Lamb
A. Kitamoto
122
31
0
20 Feb 2020
Knapsack Pruning with Inner Distillation
Knapsack Pruning with Inner Distillation
Y. Aflalo
Asaf Noy
Ming Lin
Itamar Friedman
Lihi Zelnik-Manor
3DPC
64
34
0
19 Feb 2020
Non-Autoregressive Dialog State Tracking
Non-Autoregressive Dialog State Tracking
Hung Le
R. Socher
Guosheng Lin
95
52
0
19 Feb 2020
Towards Making the Most of Context in Neural Machine Translation
Towards Making the Most of Context in Neural Machine Translation
Zaixiang Zheng
Xiang Yue
Shujian Huang
Jiajun Chen
Alexandra Birch
60
19
0
19 Feb 2020
Being Bayesian about Categorical Probability
Being Bayesian about Categorical Probability
Taejong Joo
U. Chung
Minji Seo
UQCVBDL
97
61
0
19 Feb 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural
  Gradient Descent
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
Pu Zhao
Pin-Yu Chen
Siyue Wang
Xinyu Lin
AAML
73
36
0
18 Feb 2020
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning
  Attacks on Computer Vision Systems
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems
Ryan Feng
Neal Mangaokar
Jiefeng Chen
Earlence Fernandes
S. Jha
Atul Prakash
OODAAML
43
11
0
17 Feb 2020
CAT: Customized Adversarial Training for Improved Robustness
CAT: Customized Adversarial Training for Improved Robustness
Minhao Cheng
Qi Lei
Pin-Yu Chen
Inderjit Dhillon
Cho-Jui Hsieh
OODAAML
99
117
0
17 Feb 2020
Learning Not to Learn in the Presence of Noisy Labels
Learning Not to Learn in the Presence of Noisy Labels
Liu Ziyin
Blair Chen
Ru Wang
Paul Pu Liang
Ruslan Salakhutdinov
Louis-Philippe Morency
Masahito Ueda
NoLa
69
18
0
16 Feb 2020
Multi-Scale Representation Learning for Spatial Feature Distributions
  using Grid Cells
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
Gengchen Mai
K. Janowicz
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
SSL
148
124
0
16 Feb 2020
Realistic River Image Synthesis using Deep Generative Adversarial
  Networks
Realistic River Image Synthesis using Deep Generative Adversarial Networks
A. Gautam
M. Sit
Ibrahim Demir
AI4CEGAN
107
51
0
14 Feb 2020
Skip Connections Matter: On the Transferability of Adversarial Examples
  Generated with ResNets
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian Wu
Yisen Wang
Shutao Xia
James Bailey
Xingjun Ma
AAMLSILM
105
314
0
14 Feb 2020
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