ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1312.4400
  4. Cited By
Network In Network

Network In Network

16 December 2013
Min Lin
Qiang Chen
Shuicheng Yan
ArXivPDFHTML

Papers citing "Network In Network"

50 / 719 papers shown
Title
Fake face detection via adaptive manipulation traces extraction network
Fake face detection via adaptive manipulation traces extraction network
Zhiqing Guo
Gaobo Yang
Jiyou Chen
Xingming Sun
CVBM
24
16
0
11 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community
  Acquired Pneumonia
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang
Jiayu Huo
L. Xia
F. Shan
Jun Liu
...
Xiaohuan Cao
Yaozong Gao
Dijia Wu
Qian Wang
Dinggang Shen
24
312
0
06 May 2020
A survey on modern trainable activation functions
A survey on modern trainable activation functions
Andrea Apicella
Francesco Donnarumma
Francesco Isgrò
R. Prevete
36
366
0
02 May 2020
A cascade network for Detecting COVID-19 using chest x-rays
A cascade network for Detecting COVID-19 using chest x-rays
Dailin Lv
Wuteng Qi
Yunxiang Li
Lingling Sun
Yaqi Wang
6
39
0
01 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
41
371
0
30 Apr 2020
Towards Characterizing Adversarial Defects of Deep Learning Software
  from the Lens of Uncertainty
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty
Xiyue Zhang
Xiaofei Xie
Lei Ma
Xiaoning Du
Q. Hu
Yang Liu
Jianjun Zhao
Meng Sun
AAML
16
76
0
24 Apr 2020
ResNeSt: Split-Attention Networks
ResNeSt: Split-Attention Networks
Hang Zhang
Chongruo Wu
Zhongyue Zhang
Yi Zhu
Yanghua Peng
...
Tong He
Jonas W. Mueller
R. Manmatha
Mu Li
Alex Smola
51
1,463
0
19 Apr 2020
Individual Tooth Detection and Identification from Dental Panoramic
  X-Ray Images via Point-wise Localization and Distance Regularization
Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization
Minyoung Chung
Jusang Lee
Sanguk Park
Minkyung Lee
Chae-Eun Lee
Jeongjin Lee
Y. Shin
26
40
0
12 Apr 2020
Orthogonal Over-Parameterized Training
Orthogonal Over-Parameterized Training
Weiyang Liu
Rongmei Lin
Zhen Liu
James M. Rehg
Liam Paull
Li Xiong
Le Song
Adrian Weller
32
41
0
09 Apr 2020
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs
Jun Chen
L. Liu
Yong Liu
Xianfang Zeng
MQ
41
26
0
06 Apr 2020
An Attention-Based Deep Learning Model for Multiple Pedestrian
  Attributes Recognition
An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition
Ehsan Yaghoubi
D. Borza
João Neves
Aruna Kumar
Hugo Manuel Proença
CVBM
16
18
0
02 Apr 2020
Weakly Supervised PET Tumor Detection Using Class Response
Weakly Supervised PET Tumor Detection Using Class Response
Amine Amyar
R. Modzelewski
P. Vera
V. Morard
S. Ruan
MedIm
26
5
0
18 Mar 2020
A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature
  Sequence
A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence
Chen Zhang
Xiaobo Lu
Zhiliang Huang
3DH
CVBM
21
7
0
18 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and
  Applications
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
51
82
0
17 Mar 2020
Predicting Elastic Properties of Materials from Electronic Charge
  Density Using 3D Deep Convolutional Neural Networks
Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks
Yong Zhao
Kunpeng Yuan
Yinqiao Liu
Steph-Yves M. Louis
Ming Hu
Jianjun Hu
12
24
0
17 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
213
233
0
16 Mar 2020
Experimenting with Convolutional Neural Network Architectures for the
  automatic characterization of Solitary Pulmonary Nodules' malignancy rating
Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating
Ioannis D. Apostolopoulos
33
3
0
15 Mar 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network
  Acceleration
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
Jun Shi
Jianfeng Xu
K. Tasaka
Zhibo Chen
6
25
0
12 Mar 2020
Fast Distance-based Anomaly Detection in Images Using an Inception-like
  Autoencoder
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder
Natasa Sarafijanovic-Djukic
Jesse Davis
27
24
0
12 Mar 2020
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable
  Optimization Via Overparameterization From Depth
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth
Yiping Lu
Chao Ma
Yulong Lu
Jianfeng Lu
Lexing Ying
MLT
39
78
0
11 Mar 2020
Blind Image Restoration without Prior Knowledge
Blind Image Restoration without Prior Knowledge
N. Elron
S. Yuval
Dmitry Rudoy
Noam Levy
31
6
0
03 Mar 2020
Identity Recognition in Intelligent Cars with Behavioral Data and
  LSTM-ResNet Classifier
Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier
Michael Hammann
Maximilian Kraus
S. Shafaei
Alois C. Knoll
21
3
0
02 Mar 2020
Predicting Neural Network Accuracy from Weights
Predicting Neural Network Accuracy from Weights
Thomas Unterthiner
Daniel Keysers
Sylvain Gelly
Olivier Bousquet
Ilya O. Tolstikhin
30
101
0
26 Feb 2020
Calibrating Deep Neural Networks using Focal Loss
Calibrating Deep Neural Networks using Focal Loss
Jishnu Mukhoti
Viveka Kulharia
Amartya Sanyal
Stuart Golodetz
Philip Torr
P. Dokania
UQCV
56
445
0
21 Feb 2020
NNoculation: Catching BadNets in the Wild
NNoculation: Catching BadNets in the Wild
A. Veldanda
Kang Liu
Benjamin Tan
Prashanth Krishnamurthy
Farshad Khorrami
Ramesh Karri
Brendan Dolan-Gavitt
S. Garg
AAML
OnRL
11
20
0
19 Feb 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DH
AI4TS
40
100
0
19 Feb 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image
  Classification
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
35
300
0
11 Feb 2020
Accelerating Deep Learning Inference via Freezing
Accelerating Deep Learning Inference via Freezing
Adarsh Kumar
Arjun Balasubramanian
Shivaram Venkataraman
Aditya Akella
AI4CE
29
22
0
07 Feb 2020
Stan: Small tumor-aware network for breast ultrasound image segmentation
Stan: Small tumor-aware network for breast ultrasound image segmentation
Bryar Shareef
Min Xian
Aleksandar Vakanski
22
62
0
03 Feb 2020
Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via
  Filtered Jaccard Loss Function and Parametric Augmentation
Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation
S. Mohajerani
Parvaneh Saeedi
16
22
0
23 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset
  DAmageNet
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Sizhe Chen
Zhengbao He
Chengjin Sun
Jie-jin Yang
Xiaolin Huang
AAML
31
104
0
16 Jan 2020
Camera-Based Adaptive Trajectory Guidance via Neural Networks
Camera-Based Adaptive Trajectory Guidance via Neural Networks
Aditya Rajguru
Christopher Collander
William J. Beksi
6
2
0
09 Jan 2020
Resource-Efficient Neural Networks for Embedded Systems
Resource-Efficient Neural Networks for Embedded Systems
Wolfgang Roth
Günther Schindler
Lukas Pfeifenberger
Robert Peharz
Sebastian Tschiatschek
Holger Fröning
Franz Pernkopf
Zoubin Ghahramani
34
47
0
07 Jan 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
28
5
0
07 Jan 2020
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images
Xufeng Huang
Qiang Lei
Tingli Xie
Yiming Zhang
Zhen Hu
Qi Zhou
MedIm
26
77
0
05 Jan 2020
Deep Learning on Image Denoising: An overview
Deep Learning on Image Denoising: An overview
Chunwei Tian
Lunke Fei
Wenxian Zheng
Yong-mei Xu
W. Zuo
Chia-Wen Lin
35
815
0
31 Dec 2019
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image
  Classification
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification
Vanika Singhal
H. Aggarwal
Snigdha Tariyal
A. Majumdar
OOD
18
47
0
11 Dec 2019
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
49
73
0
28 Nov 2019
Continuous Dropout
Continuous Dropout
Xu Shen
Xinmei Tian
Tongliang Liu
Fang Xu
Dacheng Tao
19
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
27
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
18
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
21
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
24
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
20
50
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
24
163
0
25 Sep 2019
Previous
123...567...131415
Next