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A Uniform Architecture Design for Accelerating 2D and 3D CNNs on FPGAs

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1109/cvpr.2015.7298682openalex-snapshot
FaceNet: A unified embedding for face recognition and clustering
inferredcites →https://doi.org/10.1109/cvprw.2015.7301342openalex-snapshot
Hand gesture recognition with 3D convolutional neural networks
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional Networks
inferredcites →https://doi.org/10.1109/iros.2015.7353481openalex-snapshot
VoxNet: A 3D Convolutional Neural Network for real-time object recognition
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot
Caffe
inferredcites →https://doi.org/10.1145/2684746.2689060openalex-snapshot
Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/2847263.2847265openalex-snapshot
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network
inferredcites →https://doi.org/10.1145/2847263.2847276openalex-snapshot
Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/3020078.3021698openalex-snapshot
Improving the Performance of OpenCL-based FPGA Accelerator for Convolutional Neural Network
inferredcites →https://doi.org/10.1145/3020078.3021727openalex-snapshot
Frequency Domain Acceleration of Convolutional Neural Networks on CPU-FPGA Shared Memory System
inferredcites →https://doi.org/10.1145/3020078.3021736openalex-snapshot
Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/3020078.3021738openalex-snapshot
An OpenCL™ Deep Learning Accelerator on Arria 10
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3174243.3174257openalex-snapshot
Towards a Uniform Template-based Architecture for Accelerating 2D and 3D CNNs on FPGA
inferredcites →https://doi.org/10.1145/3186332openalex-snapshot
Toolflows for Mapping Convolutional Neural Networks on FPGAs
inferredcites →https://doi.org/10.23919/fpl.2017.8056779openalex-snapshot
F-C3D: FPGA-based 3-dimensional convolutional neural network
inferredcites →https://doi.org/10.4230/lipics.ecoop.2020.15openalex-snapshot
Static Analysis of Shape in TensorFlow Programs
inferredcites →https://doi.org/10.48550/arxiv.1212.0402openalex-snapshot
UCF-101: A dataset of 101 human actions classes from videos in the wild
inferredcites →https://doi.org/10.48550/arxiv.1408.5093openalex-snapshot
Caffe: Convolutional Architecture for Fast Feature Embedding
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1603.04467openalex-snapshot
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
inferredcites →https://doi.org/10.48550/arxiv.1806.01683openalex-snapshot
Accelerating CNN inference on FPGAs: A Survey

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Hardware Architectures and Optimization Techniques for Convolutional Neural Network Accelerators
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A pipelining strategy for accelerating convolution neural networks on ARM CPUs
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Minimal Filtering Algorithms for Convolutional Neural Networks
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A Dynamic Mapping Model for General CNN Accelerator Based on FPGA
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Dense Material Segmentation with Context-Aware Network
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A Pipelining Strategy for Accelerating Convolutional Networks on ARM Processors
inferred← citeshttps://doi.org/10.1007/s11063-022-10765-1openalex-snapshot
Deep CNN Co-design for HEVC CU Partition Prediction on FPGA–SoC
inferred← citeshttps://doi.org/10.1007/s11265-021-01651-5openalex-snapshot
A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAs
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Hardware deployment of deep learning model for classification of breast carcinoma from digital mammogram images
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Efficient binary 3D convolutional neural network and hardware accelerator
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Fpga-based SoC design for real-time facial point detection using deep convolutional neural networks with dynamic partial reconfiguration
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ConvLSNet: A lightweight architecture based on ConvLSTM model for the classification of pulmonary conditions using multichannel lung sound recordings
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Brain tumor prediction on MR images with semantic segmentation by using deep learning network and 3D imaging of tumor region
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Deep convolutional neural networks-based Hardware–Software on-chip system for computer vision application
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Comparative study of hyperspectral image classification by multidimensional Convolutional Neural Network approaches to improve accuracy
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Review of neural network model acceleration techniques based on FPGA platforms
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A survey of accelerator architectures for 3D convolution neural networks
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FPGA-based implementation of classification techniques: A survey
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An efficient open-source design and implementation framework for non-quantized CNNs on FPGAs
inferred← citeshttps://doi.org/10.1016/j.vlsi.2025.102634openalex-snapshot
SARPAR: Systolic ARray Pallet-Integrated AcceleratoR for YOLO models on FPGA
inferred← citeshttps://doi.org/10.1088/1742-6596/2363/1/012030openalex-snapshot
3D CNN Hardware Circuit for Motion Recognition Based on FPGA
inferred← citeshttps://doi.org/10.1088/2058-9565/ace64dopenalex-snapshot
Techniques for combining fast local decoders with global decoders under circuit-level noise
inferred← citeshttps://doi.org/10.1101/2024.11.11.623065openalex-snapshot
Communication subspaces align with training in ANNs
inferred← citeshttps://doi.org/10.1109/access.2022.3230282openalex-snapshot
A Survey of FPGA-Based Vision Systems for Autonomous Cars
inferred← citeshttps://doi.org/10.1109/aicas59952.2024.10595963openalex-snapshot
Exploring Memory Access Techniques for Efficient FPGA based 3D CNN Accelerator Design
inferred← citeshttps://doi.org/10.1109/asap57973.2023.00030openalex-snapshot
FMM-X3D: FPGA-Based Modeling and Mapping of X3D for Human Action Recognition
inferred← citeshttps://doi.org/10.1109/dac18072.2020.9218571openalex-snapshot
3D CNN Acceleration on FPGA using Hardware-Aware Pruning
inferred← citeshttps://doi.org/10.1109/eiect68017.2025.11331875openalex-snapshot
A Lightweight FPGA Hard Core for Three-Dimensional Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/fccm57271.2023.00024openalex-snapshot
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices
inferred← citeshttps://doi.org/10.1109/fccm60383.2024.00031openalex-snapshot
A Novel FPGA Accelerator of R(2+1)D
inferred← citeshttps://doi.org/10.1109/fpl60245.2023.00020openalex-snapshot
fpgaHART: A Toolflow for Throughput-Oriented Acceleration of 3D CNNs for HAR onto FPGAs
inferred← citeshttps://doi.org/10.1109/gcce59613.2023.10315320openalex-snapshot
3D Separable Winograd Convolutions with an Efficient Pipeline
inferred← citeshttps://doi.org/10.1109/icsec59635.2023.10329733openalex-snapshot
Analysis of Advanced 2D Convolution in Image Processing by Using AVX and OpenMP
inferred← citeshttps://doi.org/10.1109/incacct57535.2023.10141790openalex-snapshot
A Review on Brain Tumor Prediction using Deep Learning
inferred← citeshttps://doi.org/10.1109/iscas48785.2022.9937645openalex-snapshot
An Automated Compiler for RISC-V Based DNN Accelerator
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Efficient Modulation Format Identification Engine with CNN on FPGA
inferred← citeshttps://doi.org/10.1109/jstars.2023.3321965openalex-snapshot
Configurable 2D–3D CNNs Accelerator for FPGA-Based Hyperspectral Imagery Classification
inferred← citeshttps://doi.org/10.1109/ssd61670.2024.10549753openalex-snapshot
FPGA implementation of a Convolutional Neural Network for Alzheimer's disease classification
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Cheetah: An Accurate Assessment Mechanism and a High-Throughput Acceleration Architecture Oriented Toward Resource Efficiency
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FPGA-Based Acceleration for Bayesian Convolutional Neural Networks
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HiTEA-3D: A Design Framework for High-Throughput and Energy-Aware 3D CNN Acceleration on FPGA
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Exploration of Balanced Design in Resource-Constrained Edge Device for Efficient CNNs
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Study on Memristor-Based 3-D Convolutional Neural Network Adapting to Non-Ideal Effects
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High-Performance Acceleration of 2-D and 3-D CNNs on FPGAs Using Static Block Floating Point
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VGG16 hardware design and implementation for CNN in image recognition
inferred← citeshttps://doi.org/10.1145/3432816openalex-snapshot
Toward Multi-FPGA Acceleration of the Neural Networks
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Data and Computation Reuse in CNNs Using Memristor TCAMs
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Mobile-3DCNN: An Acceleration Framework for Ultra-Real-Time Execution of Large 3D CNNs on Mobile Devices
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A Survey of FPGA-based 3D CNN Accelerators and Hardware-aware Algorithmic Optimizations
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Designing Deep Learning Hardware Accelerator and Efficiency Evaluation
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Exploration of Memory Access Optimization for FPGA-based 3D CNN Accelerator
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FPGA-Based Design for Accelerating 3D Convolutional Neural Networks
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Embedded Plant Disease Recognition Using Deep PlantNet on FPGA-SoC
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VLSI-Friendly Filtering Algorithms for Deep Neural Networks
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FPGA Implementation for CNN-Based Optical Remote Sensing Object Detection
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Optimized Compression for Implementing Convolutional Neural Networks on FPGA
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The Improved Division-Less MT-Type Velocity Estimation Algorithm for Low-Cost FPGAs
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High-Level Synthesis of Multiclass SVM Using Code Refactoring to Classify Brain Cancer from Hyperspectral Images
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Exploring Efficient Acceleration Architecture for Winograd-Transformed Transposed Convolution of GANs on FPGAs
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An Efficient FPGA-Based Implementation for Quantized Remote Sensing Image Scene Classification Network
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Efficient Object Detection Framework and Hardware Architecture for Remote Sensing Images
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