A comprehensive review of binary neural network
Deep learning (DL) has recently changed the development of intelligent systems and is
widely adopted in many real-life applications. Despite their various benefits and potentials …
widely adopted in many real-life applications. Despite their various benefits and potentials …
Upgrading swin-B transformer-based model for accurately identifying ripe strawberries by coupling task-aligned one-stage object detection mechanism
H Liu, X Wang, F Zhao, F Yu, P Lin, Y Gan… - … and Electronics in …, 2024 - Elsevier
With the wave of agricultural modernization, deep learning technology has brought
revolutionary changes to the vision system of strawberry picking robots. Yet, the …
revolutionary changes to the vision system of strawberry picking robots. Yet, the …
MPQ-YOLO: Ultra low mixed-precision quantization of YOLO for edge devices deployment
Abstract You Only Look Once (YOLO), known for its real-time performance and outstanding
accuracy, has emerged as a prominent framework for object detection tasks. However …
accuracy, has emerged as a prominent framework for object detection tasks. However …
[HTML][HTML] One-Year-Old Precocious Chinese Mitten Crab Identification Algorithm Based on Task Alignment
H Gu, D Gan, M Chen, G Feng - Animals, 2024 - mdpi.com
Simple Summary Simple Summary: We developed R-TNET, a detection model tailored to
identify one-year-old sexually precocious crabs. By addressing issues like subtle …
identify one-year-old sexually precocious crabs. By addressing issues like subtle …
Edge Computing Image Processing for Contextual Insights Towards Lighting Applications
AN Soares - 2024 - search.proquest.com
This dissertation explores the integration of edge computer vision technologies into
luminaires as a solution to enhance energy efficiency and provide contextual information …
luminaires as a solution to enhance energy efficiency and provide contextual information …