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A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks

A Survey of the Recent Architectures of Deep Convolutional Neural Networks

17 January 2019
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
    OOD
ArXivPDFHTML

Papers citing "A Survey of the Recent Architectures of Deep Convolutional Neural Networks"

50 / 243 papers shown
Title
Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation
Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation
Yongchao Feng
Yajie Liu
Shuai Yang
Wenrui Cai
Jingyang Zhang
...
Jiahui Lv
Ziqiang Liu
Tengyuan Shi
Qingjie Liu
Yixuan Wang
MLLM
VLM
63
1
0
13 Apr 2025
Explainable AI-Driven Detection of Human Monkeypox Using Deep Learning and Vision Transformers: A Comprehensive Analysis
Explainable AI-Driven Detection of Human Monkeypox Using Deep Learning and Vision Transformers: A Comprehensive Analysis
Md. Zahid Hossain
M. Islam
Most. Sharmin Sultana Samu
MedIm
17
0
0
03 Apr 2025
Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation
Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation
Jonathan Attard
Dylan Seychell
48
0
0
27 Mar 2025
Triple-Stream Deep Feature Selection with Metaheuristic Optimization and Machine Learning for Multi-Stage Hypertensive Retinopathy Diagnosis
Suleyman Burcin Suyun
Mustafa Yurdakul
Şakir Tasdemir
Serkan Bilic
65
0
0
03 Mar 2025
Quantum autoencoders for image classification
Quantum autoencoders for image classification
Hinako Asaoka
Kazue Kudo
55
0
0
24 Feb 2025
AIoT-based smart traffic management system
AIoT-based smart traffic management system
Ahmed Mahmoud Elbasha
Mohammad M. Abdellatif
50
0
0
04 Feb 2025
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data
Wenqian Jiang
Junyang Jin
49
5
0
20 Jan 2025
Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation
Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation
Xianping Ma
Ziyao Wang
Yin Hu
Xiaokang Zhang
Man-On Pun
46
0
0
13 Jan 2025
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency
  Modulation, Spatial Purification, and Scale Diversification
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification
Yucong Meng
Zhiwei Yang
Yonghong Shi
Zhijian Song
82
2
0
14 Dec 2024
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Ray Congrui Yu
Sherry Wu
Jiang Gui
44
1
0
07 Oct 2024
HMT-Grasp: A Hybrid Mamba-Transformer Approach for Robot Grasping in Cluttered Environments
HMT-Grasp: A Hybrid Mamba-Transformer Approach for Robot Grasping in Cluttered Environments
Songsong Xiong
H. Kasaei
43
0
0
04 Oct 2024
DVS: Blood cancer detection using novel CNN-based ensemble approach
DVS: Blood cancer detection using novel CNN-based ensemble approach
Md. Taimur Ahad
Israt Jahan Payel
Bo Song
Yan Li
19
1
0
12 Sep 2024
Accurate Compression of Text-to-Image Diffusion Models via Vector
  Quantization
Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization
Vage Egiazarian
Denis Kuznedelev
Anton Voronov
Ruslan Svirschevski
Michael Goin
Daniil Pavlov
Dan Alistarh
Dmitry Baranchuk
MQ
36
0
0
31 Aug 2024
Pixels to Prose: Understanding the art of Image Captioning
Pixels to Prose: Understanding the art of Image Captioning
Hrishikesh Singh
Aarti Sharma
Millie Pant
3DV
VLM
25
0
0
28 Aug 2024
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep
  Graph Neural Networks
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks
Jie Peng
Runlin Lei
Zhewei Wei
31
5
0
07 Aug 2024
What comes after transformers? -- A selective survey connecting ideas in
  deep learning
What comes after transformers? -- A selective survey connecting ideas in deep learning
Johannes Schneider
AI4CE
37
2
0
01 Aug 2024
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural
  Networks Training with Blurred Knowledge Distillation
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
Zekai Xu
Kang You
Qinghai Guo
Xiang Wang
Zhezhi He
33
3
0
12 Jul 2024
Bayesian Entropy Neural Networks for Physics-Aware Prediction
Bayesian Entropy Neural Networks for Physics-Aware Prediction
R. Rathnakumar
Jiayu Huang
Hao Yan
Yongming Liu
29
2
0
01 Jul 2024
Modeling & Evaluating the Performance of Convolutional Neural Networks
  for Classifying Steel Surface Defects
Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects
Nadeem Jabbar Chaudhry
M. B. Khan
M. J. Iqbal
Siddiqui Muhammad Yasir
29
11
0
19 Jun 2024
Fuzzy Convolution Neural Networks for Tabular Data Classification
Fuzzy Convolution Neural Networks for Tabular Data Classification
Arun D. Kulkarni
24
1
0
04 Jun 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
82
42
0
23 May 2024
Bayesian and Convolutional Networks for Hierarchical Morphological
  Classification of Galaxies
Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies
Jonathan Serrano-Pérez
Raquel Díaz-Hernández
L. Sucar
19
1
0
03 May 2024
UniRGB-IR: A Unified Framework for Visible-Infrared Semantic Tasks via Adapter Tuning
UniRGB-IR: A Unified Framework for Visible-Infrared Semantic Tasks via Adapter Tuning
Maoxun Yuan
Bo Cui
Tianyi Zhao
Xingxing Wei
Shan Fu
Xue Yang
Xingxing Wei
46
0
0
26 Apr 2024
Modular Deep Active Learning Framework for Image Annotation: A Technical
  Report for the Ophthalmo-AI Project
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project
Md Abdul Kadir
Hasan Md Tusfiqur Alam
Pascale Maul
H. Profitlich
Moritz Wolf
Daniel Sonntag
VLM
MedIm
31
0
0
22 Mar 2024
Deep Learning for Trajectory Data Management and Mining: A Survey and
  Beyond
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond
Wei Chen
Yuxuan Liang
Yuanshao Zhu
Yanchuan Chang
Kang Luo
...
Chao Chen
Kai Zheng
Yunjun Gao
Xiaofang Zhou
Yu Zheng
63
22
0
21 Mar 2024
Robustness Verifcation in Neural Networks
Robustness Verifcation in Neural Networks
Adrian Wurm
21
0
0
20 Mar 2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse
  Task Perspectives
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
Simone Alberto Peirone
Francesca Pistilli
A. Alliegro
Giuseppe Averta
EgoV
29
4
0
05 Mar 2024
A general approach to enhance the survivability of backdoor attacks by
  decision path coupling
A general approach to enhance the survivability of backdoor attacks by decision path coupling
Yufei Zhao
Dingji Wang
Bihuan Chen
Ziqian Chen
Xin Peng
AAML
26
0
0
05 Mar 2024
Large Convolutional Model Tuning via Filter Subspace
Large Convolutional Model Tuning via Filter Subspace
Wei Chen
Zichen Miao
Qiang Qiu
51
3
0
01 Mar 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications,
  Challenges, and Future Trends
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi
Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
3DV
47
44
0
23 Feb 2024
Utilizing BERT for Information Retrieval: Survey, Applications,
  Resources, and Challenges
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges
Jiajia Wang
Jimmy X. Huang
Xinhui Tu
Junmei Wang
Angela J. Huang
Md Tahmid Rahman Laskar
Amran Bhuiyan
34
28
0
18 Feb 2024
Exploring the Relationship: Transformative Adaptive Activation Functions
  in Comparison to Other Activation Functions
Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions
Vladimír Kunc
24
1
0
14 Feb 2024
Exploring the Synergies of Hybrid CNNs and ViTs Architectures for
  Computer Vision: A survey
Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey
Haruna Yunusa
Shiyin Qin
Abdulrahman Hamman Adama Chukkol
Abdulganiyu Abdu Yusuf
Isah Bello
A. Lawan
ViT
40
13
0
05 Feb 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
Chu Myaet Thwal
Minh N. H. Nguyen
Ye Lin Tun
Seongjin Kim
My T. Thai
Choong Seon Hong
61
5
0
22 Jan 2024
Self Expanding Convolutional Neural Networks
Self Expanding Convolutional Neural Networks
Blaise Appolinary
Alex Deaconu
Sophia Yang
Qingze Li
Li
30
0
0
11 Jan 2024
conv_einsum: A Framework for Representation and Fast Evaluation of
  Multilinear Operations in Convolutional Tensorial Neural Networks
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks
Tahseen Rabbani
Jiahao Su
Xiaoyu Liu
David Chan
Geoffrey Sangston
Furong Huang
34
1
0
07 Jan 2024
CAManim: Animating end-to-end network activation maps
CAManim: Animating end-to-end network activation maps
Emily Kaczmarek
Olivier X. Miguel
Alexa C. Bowie
R. Ducharme
Alysha L. J. Dingwall-Harvey
S. Hawken
Christine M. Armour
Mark C. Walker
Kevin Dick
HAI
26
1
0
19 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine,
  Distributed and Federated Learning
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning
Omer Subasi
Oceane Bel
Joseph Manzano
Kevin J. Barker
FedML
OOD
PINN
25
2
0
05 Dec 2023
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault
  Diagnosis in Industrial Machines
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines
Mustafa Yurdakul
Şakir Tasdemir
AI4CE
20
1
0
02 Dec 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive
  Review
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
M. Lê
Pierre Wolinski
Julyan Arbel
34
8
0
20 Nov 2023
Using convolutional neural networks for stereological characterization
  of 3D hetero-aggregates based on synthetic STEM data
Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data
Lukas Fuchs
Tom Kirstein
Christoph Mahr
O. Furat
Valentin Baric
Andreas Rosenauer
Lutz Mädler
Volker Schmidt
3DV
37
3
0
27 Oct 2023
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split
  Learning
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning
Ngoc Duy Pham
K. Phan
Naveen Chilamkurti
19
3
0
22 Oct 2023
Toward Flare-Free Images: A Survey
Toward Flare-Free Images: A Survey
Yousef Kotp
Marwan Torki
43
3
0
22 Oct 2023
Object Size-Driven Design of Convolutional Neural Networks: Virtual Axle
  Detection based on Raw Data
Object Size-Driven Design of Convolutional Neural Networks: Virtual Axle Detection based on Raw Data
Henik Riedel
Robert Steven Lorenzen
Clemens Hubler
29
1
0
04 Sep 2023
Efficient Representation Learning for Healthcare with
  Cross-Architectural Self-Supervision
Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision
P. Singh
Jacopo Cirrone
OOD
SSL
27
2
0
19 Aug 2023
Quantifying Overfitting: Introducing the Overfitting Index
Quantifying Overfitting: Introducing the Overfitting Index
Sanad Aburass
MQ
22
9
0
16 Aug 2023
Space Debris: Are Deep Learning-based Image Enhancements part of the
  Solution?
Space Debris: Are Deep Learning-based Image Enhancements part of the Solution?
M. Jamrozik
Vincent Gaudillière
M. A. Musallam
Djamila Aouada
22
0
0
01 Aug 2023
Performance Evaluation of Swin Vision Transformer Model using Gradient
  Accumulation Optimization Technique
Performance Evaluation of Swin Vision Transformer Model using Gradient Accumulation Optimization Technique
Sanad Aburass
O. Dorgham
ViT
8
9
0
31 Jul 2023
EdgeAL: An Edge Estimation Based Active Learning Approach for OCT
  Segmentation
EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation
Md Abdul Kadir
Hasan Md Tusfiqur Alam
Daniel Sonntag
32
9
0
20 Jul 2023
Quaternion Convolutional Neural Networks: Current Advances and Future
  Directions
Quaternion Convolutional Neural Networks: Current Advances and Future Directions
Gerardo Altamirano-Gomez
C. Gershenson
20
3
0
17 Jul 2023
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