Parallel residual bi-fusion feature pyramid network for accurate single-shot object detection

PY Chen, MC Chang, JW Hsieh… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
This paper proposes the Parallel Residual Bi-Fusion Feature Pyramid Network (PRB-FPN)
for fast and accurate single-shot object detection. Feature Pyramid (FP) is widely used in …

Hidden dangerous object recognition in terahertz images using deep learning methods

SA Danso, L Shang, D Hu, J Odoom, Q Liu… - Applied Sciences, 2022 - mdpi.com
As a harmless detection method, terahertz has become a new trend in security detection.
However, there are inherent problems such as the low quality of the images collected by …

MBAB-YOLO: A Modified Lightweight Architecture for Real-Time Small Target Detection

J Zhang, Y Meng, X Yu, H Bi, Z Chen, H Li… - IEEE …, 2023 - ieeexplore.ieee.org
Current target detection methods have achieved high accuracy for detecting large and
medium-sized targets. However, due to factors such as the small number of pixels and …

Mixed stage partial network and background data augmentation for surveillance object detection

PY Chen, JW Hsieh, M Gochoo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
State-of-the-art (SoTA) object detection models and their accuracy have been improved by a
large margin via CNNs (Convolutional Neural Networks); however, these models still …

BS-YOLOv5s: Insulator Defect Detection with Attention Mechanism and Multi-Scale Fusion

Z Zhang, G Lv, G Zhao, Y Zhai… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the rapid development of deep learning, the use of object detection algorithms for aerial
insulator image defect detection has become the main way. To address the problems of low …

DMA-SGCN for Video Motion Recognition: A Tool for Advanced Sports Analysis

C Pei - IEEE Access, 2024 - ieeexplore.ieee.org
Video motion recognition plays a crucial role in advanced sports analysis. With video motion
recognition, sports analytics has become more data-driven and result-oriented, significantly …

Automatic meter reading based on bi-fusion MSP network and carry-out rechecking

JY Liao, JW Hsieh, CW Ma - IEEE Access, 2022 - ieeexplore.ieee.org
Automatic meter reading is important for power billing in a smart city. Most SoTA (State-of-
the-Art) vision-based methods can read only cyclometers and fail to handle dial meters due …

A YOLOv7-Based Method for Detecting Buttons in Service Robots during Autonomous Elevator-Taking Tasks

MH Chen, WH Huang, THS Li - 2023 International Conference …, 2023 - ieeexplore.ieee.org
This paper presents a novel visual algorithm based on YOLOv7, designed to enhance the
robustness of automated elevator-taking service robots in detecting elevator buttons …

저사양소형자율주행시스템을위한실시간차선인식과포트홀탐지기반회피주행알고리즘개발

신현준, 염태선, 이석원 - 대한기계학회논문집A 권, 2023 - dbpia.co.kr
차선 인식과 객체 탐지는 현대 자율 주행에서 핵심적인 기술이다. 이에 본 논문은 소형 자율주행
차량을 고려한 Raspberry Pi 4B (RPI4) 와 Arduino 에 적용할 수 있는 경량화된 객체 탐지와 …

[引用][C] Semantic Segmentation Model for Marine Pollution Detection

WB Heng, YK Chiu, XZ Chen, YL Chen