FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Zhengdong, Hong, Frederick Ziyang, Yue, C. Patrick |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Generative Adversarial Network on Motion-Blur Image Restoration
por: Li, Zhengdong
Publicado: (2024)
por: Li, Zhengdong
Publicado: (2024)
Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network
por: Liu, Yang, et al.
Publicado: (2024)
por: Liu, Yang, et al.
Publicado: (2024)
Computer Aided Detection and Classification of mammograms using Convolutional Neural Network
por: Ishaq, Kashif, et al.
Publicado: (2024)
por: Ishaq, Kashif, et al.
Publicado: (2024)
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation
por: Wang, Ziyang, et al.
Publicado: (2024)
por: Wang, Ziyang, et al.
Publicado: (2024)
A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field
por: Gao, Ziyang, et al.
Publicado: (2025)
por: Gao, Ziyang, et al.
Publicado: (2025)
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
por: Ma, Chao, et al.
Publicado: (2024)
por: Ma, Chao, et al.
Publicado: (2024)
LeDNet: Localization-enabled Deep Neural Network for Multi-Label Radiography Image Classification
por: Pant, Lalit, et al.
Publicado: (2024)
por: Pant, Lalit, et al.
Publicado: (2024)
Signal2Image Modules in Deep Neural Networks for EEG Classification
por: Bizopoulos, Paschalis, et al.
Publicado: (2019)
por: Bizopoulos, Paschalis, et al.
Publicado: (2019)
Semi-Supervised Disease Classification based on Limited Medical Image Data
por: Zhang, Yan, et al.
Publicado: (2024)
por: Zhang, Yan, et al.
Publicado: (2024)
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics
por: Zhang, Yichi, et al.
Publicado: (2025)
por: Zhang, Yichi, et al.
Publicado: (2025)
Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
por: Yan, Hao, et al.
Publicado: (2024)
por: Yan, Hao, et al.
Publicado: (2024)
Coordinate-based Neural Network for Fourier Phase Retrieval
por: Li, Tingyou, et al.
Publicado: (2023)
por: Li, Tingyou, et al.
Publicado: (2023)
Approximately Invertible Neural Network for Learned Image Compression
por: Gao, Yanbo, et al.
Publicado: (2024)
por: Gao, Yanbo, et al.
Publicado: (2024)
Automatic Classification of White Blood Cell Images using Convolutional Neural Network
por: Asghar, Rabia, et al.
Publicado: (2024)
por: Asghar, Rabia, et al.
Publicado: (2024)
Hybrid Spatial-spectral Neural Network for Hyperspectral Image Denoising
por: Liang, Hao, et al.
Publicado: (2024)
por: Liang, Hao, et al.
Publicado: (2024)
FPGA-based Lane Detection System incorporating Temperature and Light Control Units
por: Qamar, Ibrahim, et al.
Publicado: (2025)
por: Qamar, Ibrahim, et al.
Publicado: (2025)
Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessment
por: Zhou, Tianwei, et al.
Publicado: (2024)
por: Zhou, Tianwei, et al.
Publicado: (2024)
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models
por: Li, Meng, et al.
Publicado: (2022)
por: Li, Meng, et al.
Publicado: (2022)
Physics-Informed Neural Network Based Digital Image Correlation Method
por: Li, Boda, et al.
Publicado: (2024)
por: Li, Boda, et al.
Publicado: (2024)
Cross-domain Hyperspectral Image Classification based on Bi-directional Domain Adaptation
por: Zhang, Yuxiang, et al.
Publicado: (2025)
por: Zhang, Yuxiang, et al.
Publicado: (2025)
Pushing Joint Image Denoising and Classification to the Edge
por: Markhorst, Thomas C, et al.
Publicado: (2024)
por: Markhorst, Thomas C, et al.
Publicado: (2024)
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
por: Faria, Fatema Tuj Johora, et al.
Publicado: (2024)
por: Faria, Fatema Tuj Johora, et al.
Publicado: (2024)
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network
por: Li, Junhui, et al.
Publicado: (2024)
por: Li, Junhui, et al.
Publicado: (2024)
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
por: Helm, Kimberly, et al.
Publicado: (2024)
por: Helm, Kimberly, et al.
Publicado: (2024)
Viewport-based Neural 360° Image Compression
por: Liao, Jingwei, et al.
Publicado: (2026)
por: Liao, Jingwei, et al.
Publicado: (2026)
Test Time Optimized Generalized AI-based Medical Image Registration Method
por: C., Sneha Sree, et al.
Publicado: (2025)
por: C., Sneha Sree, et al.
Publicado: (2025)
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images
por: Mei, Jie, et al.
Publicado: (2025)
por: Mei, Jie, et al.
Publicado: (2025)
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images
por: Deutges, Michael, et al.
Publicado: (2024)
por: Deutges, Michael, et al.
Publicado: (2024)
Adaptive Convolutional Neural Network for Image Super-resolution
por: Wu, Ziang, et al.
Publicado: (2024)
por: Wu, Ziang, et al.
Publicado: (2024)
STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation
por: Shan, Dandan, et al.
Publicado: (2025)
por: Shan, Dandan, et al.
Publicado: (2025)
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings
por: Wei, Renjie, et al.
Publicado: (2023)
por: Wei, Renjie, et al.
Publicado: (2023)
Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
por: Subedi, Aliza, et al.
Publicado: (2024)
por: Subedi, Aliza, et al.
Publicado: (2024)
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
por: Wang, Ziyang, et al.
Publicado: (2022)
por: Wang, Ziyang, et al.
Publicado: (2022)
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging
por: Lin, Junji, et al.
Publicado: (2025)
por: Lin, Junji, et al.
Publicado: (2025)
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification
por: EL-Assiouti, Omar S., et al.
Publicado: (2024)
por: EL-Assiouti, Omar S., et al.
Publicado: (2024)
Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification
por: Gong, Chuanzheng, et al.
Publicado: (2026)
por: Gong, Chuanzheng, et al.
Publicado: (2026)
Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification
por: Dam, Tanmoy, et al.
Publicado: (2021)
por: Dam, Tanmoy, et al.
Publicado: (2021)
Training Neural Networks on RAW and HDR Images for Restoration Tasks
por: Ke, Andrew Yanzhe, et al.
Publicado: (2023)
por: Ke, Andrew Yanzhe, et al.
Publicado: (2023)
Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures
por: Wisotzky, Eric L., et al.
Publicado: (2023)
por: Wisotzky, Eric L., et al.
Publicado: (2023)
Enhancing Sentinel-2 Image Resolution: Evaluating Advanced Techniques based on Convolutional and Generative Neural Networks
por: Kramer, Patrick, et al.
Publicado: (2024)
por: Kramer, Patrick, et al.
Publicado: (2024)
Ejemplares similares
-
Generative Adversarial Network on Motion-Blur Image Restoration
por: Li, Zhengdong
Publicado: (2024) -
Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network
por: Liu, Yang, et al.
Publicado: (2024) -
Computer Aided Detection and Classification of mammograms using Convolutional Neural Network
por: Ishaq, Kashif, et al.
Publicado: (2024) -
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation
por: Wang, Ziyang, et al.
Publicado: (2024) -
A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field
por: Gao, Ziyang, et al.
Publicado: (2025)