Results 71 to 80 of about 2,335 (188)

OPTIMASI DETEKSI PENYAKIT DAUN TEH BERBASIS YOLOV8 MENGGUNAKAN CONVOLUTIONAL BLOCK ATTENTION MODULE (CBAM) DAN BIDIRECTIONAL FEATURE PYRAMID NETWORK (BiFPN) [PDF]

Deteksi dini penyakit daun teh penting untuk menjaga kualitas produksi, namun proses ini menghadapi tantangan berupa keragaman bentuk dan ukuran gejala serta latar belakang citra yang kompleks. Penelitian ini mengoptimalkan YOLOv8 dengan mengintegrasikan
Armijantoro, Gilang Rahmadhan
core  

Convolutional Feature Enhancement and Attention Fusion BiFPN for Ship Detection in SAR Images

CoRR
Synthetic Aperture Radar (SAR) enables submeter-resolution imaging and all-weather monitoring via active microwave and advanced signal processing. Currently, SAR has found extensive applications in critical maritime domains such as ship detection. However, SAR ship detection faces several challenges, including significant scale variations among ships ...
Liangjie Meng, Danxia Li, Jinrong He, Lili Ma, Zhixin Li   +4 more
openaire   +2 more sources

FEA-Swin: Foreground Enhancement Attention Swin Transformer Network for Accurate UAV-Based Dense Object Detection

, 2022
UAV-based object detection has recently attracted a lot of attention due to its diverse applications. Most of the existing convolution neural network based object detection models can perform well in common object detection cases.
Zhang, Chaofan, Chaofan Zhang, Wang, Qi, Dai, Pangda, Qi Wang, Pangda Dai, Xu, Wenyu, Wenyu Xu   +7 more
core   +1 more source

Research on an Intelligent Identification Method for Wind Turbine Blade Damage Based on CBAM-BiFPN-YOLOV8

To address challenges in the detection of wind turbine blade damage images, characterized by complex backgrounds and multiscale feature distribution, we propose a method based on an enhanced YOLOV8 model. Our approach focuses on three key aspects: First,
Jianguo Wang, Chao Zhang, Yaxiong Han, Hang Yu, Bin Fan   +4 more
core   +1 more source

Forest Fire Smoke Detection Based on Deep Learning Approaches and Unmanned Aerial Vehicle Images

, 2023
Wildfire poses a significant threat and is considered a severe natural disaster, which endangers forest resources, wildlife, and human livelihoods.
Azamjon Muminov, Soon-Young Kim
core   +1 more source

Lightweight Faster R-CNN with Standalone BiFPN for Accurate Detection and Counting of Tuberculosis Bacilli in Ziehl-Neelsen Smear Microscopy

This study proposes a computationally efficient deep learning framework for automated detection and quantification of Mycobacterium tuberculosis in Ziehl–Neelsen–stained sputum images.
Ridwan Wicaksono, Mahasti Namira, Titik Nuryastuti   +2 more
core   +1 more source

VB-SOLO: Single-Stage Instance Segmentation of Overlapping Epithelial Cells

IEEE Access
The instance segmentation of overlapping cells in smear images of epithelial cells is challenging due to the significant overlap and adhesion between the cells’ translucent cytoplasm.
Lichuan Li, Wei Chen, Jie Qi
doaj   +1 more source

Facial Botox Injection Point Detection Using YOLOv8 Enhanced with CBAM and BiFPN: A Multi-Perspective Deep Learning Approach

Botox is one of the most frequently performed procedures in cosmetic dermatology, aimed at reducing wrinkles and enhancing facial aesthetics. However, the procedure is technically demanding, time-consuming, and physically fatiguing, and it is prone to ...
AKSU ARICA, DENİZ, Savas, Sedanur, EKİNCİ, MURAT, GÜLSOY, TOLGAHAN, BAYKAL KABLAN, ELİF, BAYKAL SELÇUK, LEYLA, AYAS, SELEN   +6 more
core   +1 more source

DenseNet-BiFPN-ECA Fusion Network: An Enhanced Transfer Learning Approach for Tomato Leaf Disease Recognition

Horticulturae
Early and accurate identification of tomato leaf diseases constitutes a key safeguard for mitigating economic losses in tomato production. Conventional tomato leaf disease detection methodologies are constrained by inherent limitations, such as low ...
Lina Liang, Jingnan Chen, Ying Tian, Hongyan Wang, Yiting Cai, Fenglin Zhong, Senpeng Wang, Maomao Hou, Junyang Lu   +8 more
doaj   +1 more source

BCA-MVSNet: Integrating BIFPN and CA for Enhanced Detail Texture in Multi-View Stereo Reconstruction

The 3D point cloud generated by MVSNet has good scene integrity but lacks sensitivity to details, causing holes and non-dense areas in flat and weak-texture regions.
Ning Long, Xiao Hu, Mingju Chen, Zhengxu Duan   +3 more
core   +1 more source