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A Survey of Convolutional Neural Networks: Analysis, Applications, and
  Prospects

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

1 April 2020
Zewen Li
Wenjie Yang
Shouheng Peng
Fan Liu
    HAI
    3DV
ArXivPDFHTML

Papers citing "A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects"

50 / 272 papers shown
Title
Conformal Loss-Controlling Prediction
Conformal Loss-Controlling Prediction
Di Wang
Pingping Wang
Zhong Ji
Xiaojun Yang
Hongyue Li
8
1
0
06 Jan 2023
A comprehensive review of automatic text summarization techniques:
  method, data, evaluation and coding
A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding
D. Cajueiro
A. G. Nery
Igor Tavares
Maísa Kely de Melo
Silvia A. dos Reis
Weigang Li
V. R. R. Celestino
12
15
0
04 Jan 2023
Rethinking Cooking State Recognition with Vision Transformers
Rethinking Cooking State Recognition with Vision Transformers
A. Khan
Alif Ashrafee
Reeshoon Sayera
Shahriar Ivan
Sabbir Ahmed
ViT
11
7
0
16 Dec 2022
Using machine learning algorithms to determine the post-COVID state of a
  person by his rhythmogram
Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogram
Sergey V. Stasenko
Andrey Kovalchuk
Eremin Evgeny
Natalya Zarechnova
Maria Tsirkova
S. Permyakov
S. Parin
S. Polevaya
6
7
0
16 Dec 2022
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic,
  and Multimodal
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
K. Liang
Lingyuan Meng
Meng Liu
Yue Liu
Wenxuan Tu
Siwei Wang
Sihang Zhou
Xinwang Liu
Fu Sun
LRM
24
107
0
12 Dec 2022
Towards Practical Application of Deep Learning in Diagnosis of
  Alzheimer's Disease
Towards Practical Application of Deep Learning in Diagnosis of Alzheimer's Disease
Harshit S. Parmar
Eric Walden
MedIm
14
0
0
08 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
24
38
0
07 Dec 2022
Exploring Randomly Wired Neural Networks for Climate Model Emulation
Exploring Randomly Wired Neural Networks for Climate Model Emulation
William Yik
Sam J. Silva
A. Geiss
D. Watson‐Parris
21
3
0
06 Dec 2022
IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images
  with Deep Learning
IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning
V. Thing
14
2
0
18 Nov 2022
An FNet based Auto Encoder for Long Sequence News Story Generation
An FNet based Auto Encoder for Long Sequence News Story Generation
Paul K. Mandal
Rakeshkumar V. Mahto
12
0
0
15 Nov 2022
Boosting Binary Neural Networks via Dynamic Thresholds Learning
Boosting Binary Neural Networks via Dynamic Thresholds Learning
Jiehua Zhang
Xueyang Zhang
Z. Su
Zitong Yu
Yanghe Feng
Xin Lu
M. Pietikäinen
Li Liu
MQ
14
0
0
04 Nov 2022
The role of prior information and computational power in Machine
  Learning
The role of prior information and computational power in Machine Learning
Diego Marcondes
Adilson Simonis
Junior Barrera
6
2
0
31 Oct 2022
Explainable Deep Learning to Profile Mitochondrial Disease Using High
  Dimensional Protein Expression Data
Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data
Atif Khan
C. Lawless
Amy Vincent
Satish Pilla
S. Ramesh
A. Mcgough
18
0
0
31 Oct 2022
A Continuous Convolutional Trainable Filter for Modelling Unstructured
  Data
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data
Dario Coscia
L. Meneghetti
N. Demo
G. Stabile
G. Rozza
13
7
0
24 Oct 2022
Learning in RKHM: a $C^*$-Algebraic Twist for Kernel Machines
Learning in RKHM: a C∗C^*C∗-Algebraic Twist for Kernel Machines
Yuka Hashimoto
Masahiro Ikeda
Hachem Kadri
14
7
0
21 Oct 2022
Detecting Anomalies within Smart Buildings using Do-It-Yourself Internet
  of Things
Detecting Anomalies within Smart Buildings using Do-It-Yourself Internet of Things
Yasar Majib
M. Barhamgi
B. Heravi
S. Kariyawasam
Charith Perera
26
6
0
04 Oct 2022
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural
  Networks
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks
Ponkrshnan Thiagarajan
Susanta Ghosh
BDL
14
8
0
23 Sep 2022
Application of Neural Network in the Prediction of NOx Emissions from
  Degrading Gas Turbine
Application of Neural Network in the Prediction of NOx Emissions from Degrading Gas Turbine
Zhenkun Zheng
A. Rezazadeh
14
1
0
19 Sep 2022
Top-Tuning: a study on transfer learning for an efficient alternative to
  fine tuning for image classification with fast kernel methods
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods
P. D. Alfano
Vito Paolo Pastore
Lorenzo Rosasco
Francesca Odone
13
6
0
16 Sep 2022
Survey on Deep Fuzzy Systems in regression applications: a view on
  interpretability
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability
Jorge S. S. Júnior
Jérôme Mendes
F. Souza
C. Premebida
AI4CE
18
9
0
09 Sep 2022
Hybrid Gromov-Wasserstein Embedding for Capsule Learning
Hybrid Gromov-Wasserstein Embedding for Capsule Learning
Pourya Shamsolmoali
Masoumeh Zareapoor
Swagatam Das
Eric Granger
Salvador García
MedIm
19
2
0
01 Sep 2022
Mitosis Detection, Fast and Slow: Robust and Efficient Detection of
  Mitotic Figures
Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures
Mostafa Jahanifar
A. Shephard
Neda Zamanitajeddin
S. Graham
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
10
12
0
26 Aug 2022
A Study on the Impact of Data Augmentation for Training Convolutional
  Neural Networks in the Presence of Noisy Labels
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels
E. Santana
G. Carneiro
F. Cordeiro
NoLa
13
6
0
23 Aug 2022
Representation learning for a generalized, quantitative comparison of
  complex model outputs
Representation learning for a generalized, quantitative comparison of complex model outputs
Colin G. Cess
Stacey D. Finley
18
2
0
12 Aug 2022
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video
  Domain Adaptation
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation
Yuecong Xu
Jianfei Yang
Haozhi Cao
Min-man Wu
Xiaoli Li
Lihua Xie
Zhenghua Chen
31
4
0
10 Aug 2022
Black-box Dataset Ownership Verification via Backdoor Watermarking
Black-box Dataset Ownership Verification via Backdoor Watermarking
Yiming Li
Mingyan Zhu
Xue Yang
Yong Jiang
Tao Wei
Shutao Xia
AAML
24
70
0
04 Aug 2022
Image-based Detection of Surface Defects in Concrete during Construction
Image-based Detection of Surface Defects in Concrete during Construction
Dominik Kuhnke
Monika Kwiatkowski
Olaf Hellwich
25
0
0
03 Aug 2022
RHA-Net: An Encoder-Decoder Network with Residual Blocks and Hybrid
  Attention Mechanisms for Pavement Crack Segmentation
RHA-Net: An Encoder-Decoder Network with Residual Blocks and Hybrid Attention Mechanisms for Pavement Crack Segmentation
Guijie Zhu
Zhun Fan
Jiacheng Liu
Duan Yuan
Peili Ma
Meihua Wang
Weihua Sheng
Kelvin C. P. Wang
10
6
0
28 Jul 2022
SelectionConv: Convolutional Neural Networks for Non-rectilinear Image
  Data
SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data
David Hart
Michael Whitney
B. Morse
23
2
0
18 Jul 2022
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with
  Relational Reasoning
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning
Chenxin Xu
Yuxin Wei
Bohan Tang
Sheng Yin
Ya-Qin Zhang
Siheng Chen
AI4TS
AI4CE
32
33
0
27 Jun 2022
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large
  Images
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images
D. K. Gupta
Udbhav Bamba
A. Thakur
Akash Gupta
Suraj Sharan
Ertuğrul Demir
Dilip K. Prasad
15
6
0
25 Jun 2022
ProtoCLIP: Prototypical Contrastive Language Image Pretraining
ProtoCLIP: Prototypical Contrastive Language Image Pretraining
Delong Chen
Zhao Wu
Fan Liu
Zaiquan Yang
Huaxi Huang
Ying Tan
Erjin Zhou
VLM
CLIP
19
28
0
22 Jun 2022
Enabling Capsule Networks at the Edge through Approximate Softmax and
  Squash Operations
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations
Alberto Marchisio
Beatrice Bussolino
Edoardo Salvati
Maurizio Martina
Guido Masera
Muhammad Shafique
UQCV
15
10
0
21 Jun 2022
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised
  Flood Forecasting
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood Forecasting
Delong Chen
Ruizhi Zhou
Ya‐Jun Pan
Fan Liu
AI4CE
13
0
0
16 Jun 2022
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional
  MoEs
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
Jinguo Zhu
Xizhou Zhu
Wenhai Wang
Xiaohua Wang
Hongsheng Li
Xiaogang Wang
Jifeng Dai
MoMe
MoE
13
65
0
09 Jun 2022
Deep Learning for Visual Speech Analysis: A Survey
Deep Learning for Visual Speech Analysis: A Survey
Changchong Sheng
Gangyao Kuang
L. Bai
Chen Hou
Y. Guo
Xin Xu
M. Pietikäinen
Li Liu
VLM
13
33
0
22 May 2022
BackLink: Supervised Local Training with Backward Links
BackLink: Supervised Local Training with Backward Links
Wenzhe Guo
M. Fouda
A. Eltawil
K. Salama
14
2
0
14 May 2022
Deep Embeddings for Robust User-Based Amateur Vocal Percussion
  Classification
Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification
Alejandro Delgado
Emir Demirel
Vinod Subramanian
C. Saitis
Mark Sandler
14
1
0
10 Apr 2022
Simulator-based explanation and debugging of hazard-triggering events in
  DNN-based safety-critical systems
Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
Thomas Stifter
AAML
18
14
0
01 Apr 2022
A Two-Stage Federated Transfer Learning Framework in Medical Images
  Classification on Limited Data: A COVID-19 Case Study
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study
Alex Zhang
Naomi Fengqi Li
OOD
FedML
14
4
0
24 Mar 2022
Cyclical Curriculum Learning
Cyclical Curriculum Learning
Himmet Toprak Kesgin
M. Amasyalı
ODL
14
8
0
11 Feb 2022
Fabricated Flips: Poisoning Federated Learning without Data
Fabricated Flips: Poisoning Federated Learning without Data
Jiyue Huang
Zilong Zhao
L. Chen
Stefanie Roos
15
3
0
07 Feb 2022
Physics-informed ConvNet: Learning Physical Field from a Shallow Neural
  Network
Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network
Peng Shi
Zhi Zeng
Tianshou Liang
AI4CE
18
20
0
26 Jan 2022
Addressing Adversarial Machine Learning Attacks in Smart Healthcare
  Perspectives
Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives
A. Selvakkumar
S. Pal
Zahra Jadidi
AAML
12
13
0
16 Dec 2021
Efficient Training of Spiking Neural Networks with Temporally-Truncated
  Local Backpropagation through Time
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Wenzhe Guo
M. Fouda
A. Eltawil
K. Salama
8
12
0
13 Dec 2021
DualFormer: Local-Global Stratified Transformer for Efficient Video
  Recognition
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition
Yuxuan Liang
Pan Zhou
Roger Zimmermann
Shuicheng Yan
ViT
21
21
0
09 Dec 2021
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception
  for Zero-shot and Few-shot Tasks
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks
Xizhou Zhu
Jinguo Zhu
Hao Li
Xiaoshi Wu
Xiaogang Wang
Hongsheng Li
Xiaohua Wang
Jifeng Dai
36
126
0
02 Dec 2021
Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks
Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks
Bryan M. Li
Theoklitos Amvrosiadis
Nathalie L Rochefort
A. Onken
6
2
0
25 Nov 2021
Factorial Convolution Neural Networks
Factorial Convolution Neural Networks
JaeMo Sung
Eun-Sung Jung
14
1
0
13 Nov 2021
MERCURY: Accelerating DNN Training By Exploiting Input Similarity
MERCURY: Accelerating DNN Training By Exploiting Input Similarity
Vahid Janfaza
Kevin Weston
Moein Razavi
Shantanu Mandal
Farabi Mahmud
Alex Hilty
A. Muzahid
34
5
0
28 Oct 2021
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