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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
Automating Abnormality Detection in Musculoskeletal Radiographs through
  Deep Learning
Automating Abnormality Detection in Musculoskeletal Radiographs through Deep Learning
Goodarz Mehr
MedIm
26
7
0
21 Oct 2020
Optimising the Performance of Convolutional Neural Networks across
  Computing Systems using Transfer Learning
Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning
Rik Mulder
Valentin Radu
Christophe Dubach
39
2
0
20 Oct 2020
A Survey on Deep Learning and Explainability for Automatic Report
  Generation from Medical Images
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
Pablo Messina
Pablo Pino
Denis Parra
Alvaro Soto
Cecilia Besa
S. Uribe
Marcelo andía
C. Tejos
Claudia Prieto
Daniel Capurro
MedIm
125
65
0
20 Oct 2020
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded
  Dialogues
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues
Hung Le
Doyen Sahoo
Nancy F. Chen
Guosheng Lin
117
31
0
20 Oct 2020
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data
  Efficiency and Imperfect Teacher
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
Guangda Ji
Zhanxing Zhu
102
44
0
20 Oct 2020
Neural Architecture Performance Prediction Using Graph Neural Networks
Neural Architecture Performance Prediction Using Graph Neural Networks
Jovita Lukasik
David Friede
Heiner Stuckenschmidt
Margret Keuper
GNNAI4CE
106
12
0
19 Oct 2020
Self-supervised Geometric Features Discovery via Interpretable Attention
  for Vehicle Re-Identification and Beyond
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond
Ming Li
Xinming Huang
Ziming Zhang
SSL
67
42
0
19 Oct 2020
Rethinking Document-level Neural Machine Translation
Rethinking Document-level Neural Machine Translation
Zewei Sun
Mingxuan Wang
Hao Zhou
Chengqi Zhao
Shujian Huang
Jiajun Chen
Lei Li
VLM
149
48
0
18 Oct 2020
Efficient and Compact Convolutional Neural Network Architectures for
  Non-temporal Real-time Fire Detection
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
W. Thomson
Neelanjan Bhowmik
T. Breckon
24
18
0
17 Oct 2020
Hierarchical Multitask Learning Approach for BERT
Hierarchical Multitask Learning Approach for BERT
Çagla Aksoy
Alper Ahmetoglu
Tunga Güngör
SSL
60
5
0
17 Oct 2020
How Does Supernet Help in Neural Architecture Search?
How Does Supernet Help in Neural Architecture Search?
Yuge Zhang
Quanlu Zhang
Yaming Yang
82
10
0
16 Oct 2020
Generating Diverse Translation from Model Distribution with Dropout
Generating Diverse Translation from Model Distribution with Dropout
Xuanfu Wu
Yang Feng
Chenze Shao
38
13
0
16 Oct 2020
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
P. Yuan
Shufei Lin
Cheng Cui
Yuning Du
Ruoyu Guo
Dongliang He
Errui Ding
Shumin Han
54
43
0
15 Oct 2020
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for
  Person Re-Identification
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification
Suncheng Xiang
Yuzhuo Fu
Guanjie You
Ting Liu
56
14
0
15 Oct 2020
Semantic Label Smoothing for Sequence to Sequence Problems
Semantic Label Smoothing for Sequence to Sequence Problems
Michal Lukasik
Himanshu Jain
A. Menon
Seungyeon Kim
Srinadh Bhojanapalli
Felix X. Yu
Sanjiv Kumar
AI4TS
42
18
0
15 Oct 2020
Temperature check: theory and practice for training models with
  softmax-cross-entropy losses
Temperature check: theory and practice for training models with softmax-cross-entropy losses
Atish Agarwala
Jeffrey Pennington
Yann N. Dauphin
S. Schoenholz
UQCV
67
34
0
14 Oct 2020
Learning Propagation Rules for Attribution Map Generation
Learning Propagation Rules for Attribution Map Generation
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
FAtt
71
17
0
14 Oct 2020
GreedyFool: Multi-Factor Imperceptibility and Its Application to
  Designing a Black-box Adversarial Attack
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack
Hui Liu
Bo Zhao
Minzhi Ji
Peng Liu
AAML
42
6
0
14 Oct 2020
Video Action Understanding
Video Action Understanding
Matthew Hutchinson
V. Gadepally
115
22
0
13 Oct 2020
Satellite Image Classification with Deep Learning
Satellite Image Classification with Deep Learning
M. D. Pritt
Gary Chern
58
136
0
13 Oct 2020
Which Model to Transfer? Finding the Needle in the Growing Haystack
Which Model to Transfer? Finding the Needle in the Growing Haystack
Cédric Renggli
André Susano Pinto
Luka Rimanic
J. Puigcerver
C. Riquelme
Ce Zhang
Mario Lucic
88
28
0
13 Oct 2020
How important are faces for person re-identification?
How important are faces for person re-identification?
J. Dietlmeier
Joseph Antony
Kevin McGuinness
Noel E. O'Connor
CVBMPICV
163
29
0
13 Oct 2020
Top-DB-Net: Top DropBlock for Activation Enhancement in Person
  Re-Identification
Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
Rodolfo Quispe
Hélio Pedrini
133
43
0
12 Oct 2020
Automated Concatenation of Embeddings for Structured Prediction
Automated Concatenation of Embeddings for Structured Prediction
Xinyu Wang
Yong Jiang
Nguyen Bach
Tao Wang
Zhongqiang Huang
Fei Huang
Kewei Tu
109
177
0
10 Oct 2020
Regularizing Neural Networks via Adversarial Model Perturbation
Regularizing Neural Networks via Adversarial Model Perturbation
Yaowei Zheng
Richong Zhang
Yongyi Mao
AAML
107
99
0
10 Oct 2020
Conformal retrofitting via Riemannian manifolds: distilling
  task-specific graphs into pretrained embeddings
Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings
Justin Dieter
Arun Tejasvi Chaganty
56
0
0
09 Oct 2020
ChrEn: Cherokee-English Machine Translation for Endangered Language
  Revitalization
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization
Shiyue Zhang
B. Frey
Joey Tianyi Zhou
89
31
0
09 Oct 2020
gundapusunil at SemEval-2020 Task 8: Multimodal Memotion Analysis
gundapusunil at SemEval-2020 Task 8: Multimodal Memotion Analysis
Sunil Gundapu
R. Mamidi
77
8
0
09 Oct 2020
Large Scale Indexing of Generic Medical Image Data using Unbiased
  Shallow Keypoints and Deep CNN Features
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features
L. Chauvin
M. B. Lazreg
J. Carluer
W. Wells
Matthew Toews
27
0
0
08 Oct 2020
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial
  Attacks
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks
Anit Kumar Sahu
Satya Narayan Shukla
J. Zico Kolter
AAML
45
1
0
08 Oct 2020
A Survey On Anti-Spoofing Methods For Face Recognition with RGB Cameras
  of Generic Consumer Devices
A Survey On Anti-Spoofing Methods For Face Recognition with RGB Cameras of Generic Consumer Devices
Zuheng Ming
M. Visani
M. Luqman
J. Burie
AAMLCVBM
82
64
0
08 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial
  Transferability
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Eric Wang
Jie Ren
Shuyu Lin
Xiangming Zhu
Yisen Wang
Quanshi Zhang
AAML
143
96
0
08 Oct 2020
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated
  Using Progressively Growing GANs
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs
Bradley Max Segal
D. Rubin
G. Rubin
Adam Pantanowitz
MedIm
87
37
0
07 Oct 2020
Double Targeted Universal Adversarial Perturbations
Double Targeted Universal Adversarial Perturbations
Philipp Benz
Chaoning Zhang
Tooba Imtiaz
In So Kweon
AAML
95
48
0
07 Oct 2020
Improving the Efficiency of Grammatical Error Correction with Erroneous
  Span Detection and Correction
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
M. Chen
Tao Ge
Xingxing Zhang
Furu Wei
M. Zhou
87
47
0
07 Oct 2020
Domain Adaptive Transfer Learning on Visual Attention Aware Data
  Augmentation for Fine-grained Visual Categorization
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization
Ashiq Imran
V. Athitsos
68
14
0
06 Oct 2020
Motion Prediction Using Temporal Inception Module
Motion Prediction Using Temporal Inception Module
Tim Lebailly
Sena Kiciroglu
Mathieu Salzmann
Pascal Fua
Wei Wang
74
37
0
06 Oct 2020
RANDGAN: Randomized Generative Adversarial Network for Detection of
  COVID-19 in Chest X-ray
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray
Saman Motamed
Patrik Rogalla
Farzad Khalvati
OODMedIm
77
65
0
06 Oct 2020
Comprehensive Online Network Pruning via Learnable Scaling Factors
Comprehensive Online Network Pruning via Learnable Scaling Factors
Muhammad Umair Haider
M. Taj
76
7
0
06 Oct 2020
Constraining Logits by Bounded Function for Adversarial Robustness
Constraining Logits by Bounded Function for Adversarial Robustness
Sekitoshi Kanai
Masanori Yamada
Shin'ya Yamaguchi
Hiroshi Takahashi
Yasutoshi Ida
AAML
28
4
0
06 Oct 2020
Multi-task Learning for Multilingual Neural Machine Translation
Multi-task Learning for Multilingual Neural Machine Translation
Yiren Wang
Chengxiang Zhai
Hany Awadalla
88
69
0
06 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
85
63
0
05 Oct 2020
Non-anchor-based vehicle detection for traffic surveillance using
  bounding ellipses
Non-anchor-based vehicle detection for traffic surveillance using bounding ellipses
Byeonghyeop Yu
Johyun Shin
Gyeongjun Kim
Seungbin Roh
Keemin Sohn
34
8
0
05 Oct 2020
Painting Outside as Inside: Edge Guided Image Outpainting via
  Bidirectional Rearrangement with Progressive Step Learning
Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning
Kyunghun Kim
Yeohun Yun
Keon-Woo Kang
Kyungbo Gong
Siyeong Lee
Suk-ju Kang
42
1
0
05 Oct 2020
A Study for Universal Adversarial Attacks on Texture Recognition
A Study for Universal Adversarial Attacks on Texture Recognition
Yingpeng Deng
Lina Karam
AAML
42
2
0
04 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
236
1,361
0
03 Oct 2020
A Variational Information Bottleneck Based Method to Compress Sequential
  Networks for Human Action Recognition
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
Ayush Srivastava
Oshin Dutta
A. Prathosh
Sumeet Agarwal
Jigyasa Gupta
61
8
0
03 Oct 2020
Data-Efficient Pretraining via Contrastive Self-Supervision
Data-Efficient Pretraining via Contrastive Self-Supervision
Nils Rethmeier
Isabelle Augenstein
109
21
0
02 Oct 2020
Autoregressive Entity Retrieval
Autoregressive Entity Retrieval
Nicola De Cao
Gautier Izacard
Sebastian Riedel
Fabio Petroni
211
451
0
02 Oct 2020
STIL -- Simultaneous Slot Filling, Translation, Intent Classification,
  and Language Identification: Initial Results using mBART on MultiATIS++
STIL -- Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++
Jack G. M. FitzGerald
69
13
0
02 Oct 2020
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