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Network In Network

Network In Network

16 December 2013
Min Lin
Qiang Chen
Shuicheng Yan
ArXivPDFHTML

Papers citing "Network In Network"

50 / 758 papers shown
Title
Multimodal Machine Translation through Visuals and Speech
Multimodal Machine Translation through Visuals and Speech
U. Sulubacak
Ozan Caglayan
Stig-Arne Gronroos
Aku Rouhe
Desmond Elliott
Lucia Specia
Jörg Tiedemann
56
73
0
28 Nov 2019
Continuous Dropout
Continuous Dropout
Xu Shen
Xinmei Tian
Tongliang Liu
Fang Xu
Dacheng Tao
25
64
0
28 Nov 2019
ViewSynth: Learning Local Features from Depth using View Synthesis
ViewSynth: Learning Local Features from Depth using View Synthesis
Jisan Mahmud
Rajat Vikram Singh
Peri Akiva
S. Kundu
Kuan-Chuan Peng
Jan-Michael Frahm
3DV
32
2
0
22 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On
  Transformations Co-Occurring In Data
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data
David W. Romero
Mark Hoogendoorn
29
24
0
18 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
21
104
0
13 Nov 2019
XceptionTime: A Novel Deep Architecture based on Depthwise Separable
  Convolutions for Hand Gesture Classification
XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification
E. Rahimian
Soheil Zabihi
S. F. Atashzar
A. Asif
Arash Mohammadi
32
45
0
09 Nov 2019
Enhanced Convolutional Neural Tangent Kernels
Enhanced Convolutional Neural Tangent Kernels
Zhiyuan Li
Ruosong Wang
Dingli Yu
S. Du
Wei Hu
Ruslan Salakhutdinov
Sanjeev Arora
24
131
0
03 Nov 2019
Learning from Label Proportions with Consistency Regularization
Learning from Label Proportions with Consistency Regularization
Kuen-Han Tsai
Hsuan-Tien Lin
27
44
0
29 Oct 2019
Learning to Localize: A 3D CNN Approach to User Positioning in Massive
  MIMO-OFDM Systems
Learning to Localize: A 3D CNN Approach to User Positioning in Massive MIMO-OFDM Systems
Chi Wu
Xinping Yi
Wen Wang
Li You
Qing Huang
Xiqi Gao
30
53
0
27 Oct 2019
Learning Generalisable Omni-Scale Representations for Person
  Re-Identification
Learning Generalisable Omni-Scale Representations for Person Re-Identification
Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
30
217
0
15 Oct 2019
Continual Learning Using Bayesian Neural Networks
Continual Learning Using Bayesian Neural Networks
Honglin Li
Payam Barnaghi
Shirin Enshaeifar
F. Ganz
BDL
19
38
0
09 Oct 2019
Multi-scale Dynamic Feature Encoding Network for Image Demoireing
Multi-scale Dynamic Feature Encoding Network for Image Demoireing
Xi Cheng
Zhenyong Fu
Jian Yang
51
52
0
26 Sep 2019
Attention Convolutional Binary Neural Tree for Fine-Grained Visual
  Categorization
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
Ruyi Ji
Longyin Wen
Libo Zhang
Dawei Du
Ynajun Wu
Chen Zhao
Xianglong Liu
Feiyue Huang
29
163
0
25 Sep 2019
ACFNet: Attentional Class Feature Network for Semantic Segmentation
ACFNet: Attentional Class Feature Network for Semantic Segmentation
Fan Zhang
Yanqin Chen
Zhihang Li
Zhibin Hong
Jingtuo Liu
Feifei Ma
Junyu Han
Errui Ding
SSeg
3DPC
39
269
0
20 Sep 2019
Spatio-spectral networks for color-texture analysis
Spatio-spectral networks for color-texture analysis
Leonardo F. S. Scabini
L. C. Ribas
Odemir M. Bruno
19
14
0
13 Sep 2019
Sparse and Imperceivable Adversarial Attacks
Sparse and Imperceivable Adversarial Attacks
Francesco Croce
Matthias Hein
AAML
39
199
0
11 Sep 2019
When Single Event Upset Meets Deep Neural Networks: Observations,
  Explorations, and Remedies
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies
Zheyu Yan
Yiyu Shi
Wang Liao
M. Hashimoto
Xichuan Zhou
Cheng Zhuo
AAML
16
48
0
10 Sep 2019
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image
  Super-Resolution
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
Wenming Yang
Xuechen Zhang
Yapeng Tian
Wei Wang
Jing-Hao Xue
Q. Liao
26
16
0
09 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
34
70
0
08 Sep 2019
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity
Sahar Abdelnabi
Katharina Krombholz
Mario Fritz
31
6
0
01 Sep 2019
Convolutional Recurrent Reconstructive Network for Spatiotemporal
  Anomaly Detection in Solder Paste Inspection
Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection
Yong-Ho Yoo
Ue-Hwan Kim
Jong-hwan Kim
UQCV
18
23
0
22 Aug 2019
Deep Generalized Max Pooling
Deep Generalized Max Pooling
Vincent Christlein
Lukas Spranger
Mathias Seuret
Anguelos Nicolaou
Pavel Král
Andreas Maier
FAtt
30
81
0
14 Aug 2019
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
Ya Zhao
Rui Xu
Xiuming Zhang
30
62
0
14 Aug 2019
LIP: Local Importance-based Pooling
LIP: Local Importance-based Pooling
Ziteng Gao
Limin Wang
Gangshan Wu
FAtt
42
94
0
12 Aug 2019
Mix & Match: training convnets with mixed image sizes for improved
  accuracy, speed and scale resiliency
Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency
Elad Hoffer
Berry Weinstein
Itay Hubara
Tal Ben-Nun
Torsten Hoefler
Daniel Soudry
29
20
0
12 Aug 2019
Explaining Convolutional Neural Networks using Softmax Gradient
  Layer-wise Relevance Propagation
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
Brian Kenji Iwana
Ryohei Kuroki
S. Uchida
FAtt
35
95
0
06 Aug 2019
Physical Cue based Depth-Sensing by Color Coding with Deaberration
  Network
Physical Cue based Depth-Sensing by Color Coding with Deaberration Network
Nao Mishima
Tatsuo Kozakaya
Akihisa Moriya
R. Okada
S. Hiura
3DV
26
3
0
01 Aug 2019
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image
  Classification by Evolving and Stacking Transferable Blocks
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
Bin Wang
Bing Xue
Mengjie Zhang
29
50
0
29 Jul 2019
Dense Feature Aggregation and Pruning for RGBT Tracking
Dense Feature Aggregation and Pruning for RGBT Tracking
Yabin Zhu
Chenglong Li
Bin Luo
Jin Tang
Tianlin Li
27
178
0
24 Jul 2019
Gait recognition via deep learning of the center-of-pressure trajectory
Gait recognition via deep learning of the center-of-pressure trajectory
P. Terrier
CVBM
17
34
0
24 Jul 2019
Modern CNNs for IoT Based Farms
Modern CNNs for IoT Based Farms
P. Gikunda
25
5
0
15 Jul 2019
Measuring the Transferability of Adversarial Examples
Measuring the Transferability of Adversarial Examples
D. Petrov
Timothy M. Hospedales
SILM
AAML
20
23
0
14 Jul 2019
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual
  Recognition
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition
Xiangyang Li
Luis Herranz
Shuqiang Jiang
15
2
0
11 Jul 2019
A review on deep learning techniques for 3D sensed data classification
A review on deep learning techniques for 3D sensed data classification
David J. Griffiths
Jan Boehm
3DPC
3DV
32
165
0
09 Jul 2019
DSNet: Automatic Dermoscopic Skin Lesion Segmentation
DSNet: Automatic Dermoscopic Skin Lesion Segmentation
Md. Kamrul Hasan
Lavsen Dahal
P. Samarakoon
F. I. Tushar
Robert Martí Marly
SSeg
18
148
0
09 Jul 2019
MRI Super-Resolution with Ensemble Learning and Complementary Priors
MRI Super-Resolution with Ensemble Learning and Complementary Priors
Qing Lyu
Hongming Shan
Ge Wang
MedIm
SupR
24
96
0
06 Jul 2019
Slim-CNN: A Light-Weight CNN for Face Attribute Prediction
Slim-CNN: A Light-Weight CNN for Face Attribute Prediction
A. Sharma
H. Foroosh
CVBM
3DH
21
41
0
03 Jul 2019
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Amit Kumar Jaiswal
Ivan Panshin
D. Shulkin
Nagender Aneja
Samuel Abramov
SSL
MedIm
31
23
0
23 Jun 2019
Learning Activation Functions: A new paradigm for understanding Neural
  Networks
Learning Activation Functions: A new paradigm for understanding Neural Networks
Mohit Goyal
R. Goyal
Brejesh Lall
33
64
0
23 Jun 2019
Deep-Learning-Based Aerial Image Classification for Emergency Response
  Applications Using Unmanned Aerial Vehicles
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles
C. Kyrkou
T. Theocharides
21
106
0
20 Jun 2019
Variational Federated Multi-Task Learning
Variational Federated Multi-Task Learning
Luca Corinzia
Ami Beuret
J. M. Buhmann
FedML
27
160
0
14 Jun 2019
Bag of Color Features For Color Constancy
Bag of Color Features For Color Constancy
Firas Laakom
Nikolaos Passalis
Jenni Raitoharju
Jarno Nikkanen
Anastasios Tefas
Alexandros Iosifidis
Moncef Gabbouj
24
33
0
11 Jun 2019
S-ConvNet: A Shallow Convolutional Neural Network Architecture for
  Neuromuscular Activity Recognition Using Instantaneous High-Density Surface
  EMG Images
S-ConvNet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images
M. Islam
Daniel Massicotte
F. Nougarou
P. Massicotte
Weiping Zhu
27
9
0
08 Jun 2019
Occluded Face Recognition Using Low-rank Regression with Generalized
  Gradient Direction
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction
Cho-Ying Wu
Jian-Jiun Ding
CVBM
32
50
0
06 Jun 2019
PI-Net: A Deep Learning Approach to Extract Topological Persistence
  Images
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images
Anirudh Som
Hongjun Choi
Karthikeyan N. Ramamurthy
M. Buman
Pavan Turaga
3DH
29
29
0
05 Jun 2019
Learning Deep Image Priors for Blind Image Denoising
Learning Deep Image Priors for Blind Image Denoising
Xianxu Hou
Hongming Luo
Jingxin Liu
Bolei Xu
Ke Sun
Yuanhao Gong
Bozhi Liu
Guoping Qiu
41
7
0
04 Jun 2019
On Network Design Spaces for Visual Recognition
On Network Design Spaces for Visual Recognition
Ilija Radosavovic
Justin Johnson
Saining Xie
Wan-Yen Lo
Piotr Dollár
27
134
0
30 May 2019
Does computer vision matter for action?
Does computer vision matter for action?
Brady Zhou
Philipp Krahenbuhl
V. Koltun
LM&Ro
18
107
0
30 May 2019
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence
  Extraction
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction
Hideaki Hayashi
S. Uchida
14
3
0
30 May 2019
An Inertial Newton Algorithm for Deep Learning
An Inertial Newton Algorithm for Deep Learning
Camille Castera
Jérôme Bolte
Cédric Févotte
Edouard Pauwels
PINN
ODL
36
62
0
29 May 2019
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