3D Convolutional Neural Network

3D convolutional neural networks (CNNs) process three-dimensional data, extending the capabilities of traditional 2D CNNs to analyze volumetric information like video sequences, medical scans, and point clouds. Current research emphasizes improving efficiency and accuracy through architectural innovations such as hybrid models combining 3D CNNs with other architectures (e.g., MLPs, LSTMs, Transformers), and optimizing training strategies including pre-training and pseudo-labeling techniques. These advancements are driving progress in diverse fields, including autonomous systems, medical image analysis, and video recognition, by enabling more accurate and efficient analysis of complex, three-dimensional data.

Papers

October 31, 2024

Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction
Guan-Hua Huang, Wan-Chen Lai, Tai-Been Chen, Chien-Chin Hsu, Huei-Yung Chen, Yi-Chen Wu, Li-Ren Yeh
Convolutional Neural Network Deep Convolutional Neural Network Supervised ImageNet Functional Magnetic Resonance Imaging Parkinson Disease Multiclass Classification 3D Brain Brain Image 3D Convolutional Neural Network

March 9, 2024

C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles
Jianwen Li, Hyunsang Park, Wenjian Hao, Lei Xin, Jalil Chavez-Galaviz, Ajinkya Chaudhary, Meredith Bloss, Kyle Pattison, Christopher Vo, Devesh Upadhyay, Shreyas Sundaram, Shaoshuai Mou, Nina Mahmoudian
Autonomous System Koopman Operator Change Point Detection Control Design Autonomous Surface Vehicle 3D Convolutional Neural Network Robust Autonomous

February 23, 2024

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel
Deep Learning Convolutional Neural Network Technical Challenge Financial Application Direct Convolution CNN Architecture Future Trend Different Convolutional Neural Network 3D Convolutional Neural Network

December 20, 2023

3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention
Shiwei Cheng, Yuejiang Hao
Long Short Term Memory Human Attention Motor Imagery EEG Classification 3D Convolutional Neural Network

March 31, 2023

Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
Convolutional Neural Network 3D Convolutional Neural Network Maxillary Sinus

March 23, 2023

Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen
Vision Transformer Multi Layer Volumetric Medical Image Segmentation 3D Convolutional Neural Network Scalable 3D Benchmark

March 5, 2023

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song
Video Recognition 3D Convolutional Convolutional Structure 3D Convolutional Neural Network Free Neural Architecture Search Spatial Entropy

January 26, 2023

Low-Rank Winograd Transformation for 3D Convolutional Neural Networks
Ziran Qin, Mingbao Lin, Weiyao Lin
3D Convolutional 3D Convolutional Neural Network Winograd Convolution

November 21, 2022

Decomposing 3D Neuroimaging into 2+1D Processing for Schizophrenia Recognition
Mengjiao Hu, Xudong Jiang, Kang Sim, Juan Helen Zhou, Cuntai Guan
Deep Learning 3D Content Schizophrenia Diagnosis 3D Convolutional Neural Network 2 Dimensional Convolutional Neural Network

July 23, 2022

Intelligent 3D Network Protocol for Multimedia Data Classification using Deep Learning
Arslan Syed, Eman A. Aldhahri, Muhammad Munawar Iqbal, Abid Ali, Ammar Muthanna, Harun Jamil, Faisal Jamil
Deep Learning Video Classification 3d CNN 3D Convolution 3D Network 3D Convolutional Neural Network Spatiotemporal Fusion

June 13, 2022

MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Tao Mei
3D Convolutional Neural Network 3D Neural Network

June 5, 2022

3D Convolutional with Attention for Action Recognition
Labina Shrestha, Shikha Dubey, Farrukh Olimov, Muhammad Aasim Rafique, Moongu Jeon
Convolutional Neural Network Action Recognition Human Attention Attention Layer Human Action Recognition 3D Convolutional 3D Convolutional Neural Network Action Recognition Method

May 19, 2022

CORPS: Cost-free Rigorous Pseudo-labeling based on Similarity-ranking for Brain MRI Segmentation
Can Taylan Sari, Sila Kurugol, Onur Afacan, Simon K. Warfield
Pseudo Labeling 3D Brain 3D Convolutional Neural Network Label Fusion

May 3, 2022

In Defense of Image Pre-Training for Spatiotemporal Recognition
Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan Yuille, Yuyin Zhou, Cihang Xie
Pre Training Video Recognition 3D Convolution 3D Convolutional Neural Network Spatiotemporal Convolutional Neural Network

March 13, 2022

Decontextualized I3D ConvNet for ultra-distance runners performance analysis at a glance
David Freire-Obregón, Javier Lorenzo-Navarro, Modesto Castrillón-Santana
Glance Annotation Training Run 3D Convolutional Neural Network Target Prediction

December 1, 2021

3DVNet: Multi-View Depth Prediction and Volumetric Refinement
Alexander Rich, Noah Stier, Pradeep Sen, Tobias Höllerer
Depth Prediction Neural Scene Representation 3D Convolutional Neural Network Shape Refinement Depth Forecasting

November 27, 2021

Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution
Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma
LeArning Abstract Convolutional Neural Network Hyperspectral Image Hyperspectral Image Super Resolution 3D Convolutional Neural Network Spectral Correlation

3D Convolutional Neural Network

Papers

Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction

C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends

3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention

Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus

Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition

Low-Rank Winograd Transformation for 3D Convolutional Neural Networks

Decomposing 3D Neuroimaging into 2+1D Processing for Schizophrenia Recognition

Intelligent 3D Network Protocol for Multimedia Data Classification using Deep Learning

MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing

3D Convolutional with Attention for Action Recognition

CORPS: Cost-free Rigorous Pseudo-labeling based on Similarity-ranking for Brain MRI Segmentation

In Defense of Image Pre-Training for Spatiotemporal Recognition

Decontextualized I3D ConvNet for ultra-distance runners performance analysis at a glance

3DVNet: Multi-View Depth Prediction and Volumetric Refinement

Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution