A5085349820- Advanced Neural Network Applications
- Advanced Memory and Neural Computing
- Smart Agriculture and AI
- CCD and CMOS Imaging Sensors
- Underwater Acoustics Research
- Speech and Audio Processing
- Underwater Vehicles and Communication Systems
- Advanced Image and Video Retrieval Techniques
- IoT-based Smart Home Systems
- Multimodal Machine Learning Applications
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Human Pose and Action Recognition
- Technology and Security Systems
China University of Petroleum, East China
2022-2024
Zhongyuan University of Technology
2023
Abstract Seed sorting based on deep neural networks is one of the important applications seed variety identification and quality purification. However, DNNs difficult to deploy embedded devices since consumption computational storage resource. To address these problems, this paper proposes a pipeline‐style network framework for real‐time sorting. First, we propose novel algorithm, 2D information entropy, pruning redundant filters realize structured pruning. Then, rate each convolution layer...
Seed sorting is critical for the breeding industry to improve agricultural yield. The seed methods based on convolutional neural networks (CNNs) have achieved excellent recognition accuracy large-scale pretrained network models. However, CNN inference a computationally intensive process that often requires hardware acceleration operate in real time. For embedded devices, high-power consumption of graphics processing units (GPUs) generally prohibitive, and field programmable gate array (FPGA)...
Abstract Convolutional neural network (CNN) models equipped with depth separable convolution (DSC) promise a lower spatial complexity while retaining high model accuracy. However, little attention has been paid to their hardware architecture. Previous studies on DSC-based CNN accelerators typically use fixed computational for various models, leading an imbalance between power, efficiency, and performance. To address this problem, novel, real-time accelerator that can accommodate...