Results 31 to 40 of about 1,075,591 (257)

Target Driven Adaptive Loss for Infrared Small Target Detection

open access: yes2025 IEEE International Conference on Image Processing (ICIP)
We propose a target driven adaptive (TDA) loss to enhance the performance of infrared small target detection (IRSTD). Prior works have used loss functions, such as binary cross-entropy loss and IoU loss, to train segmentation models for IRSTD. Minimizing these loss functions guides models to extract pixel-level features or global image context. However,
Shoji, Yuho   +2 more
openaire   +2 more sources

A double-threshold target detection method in detecting low slow small target

open access: yesProcedia Computer Science, 2020
Abstract With the rapid development of Unmanned Aerial Vehicle (UAV), stealth warship and stealth tank, the mission of radar has become more difficult. The modern radar system must detect and track target through strong clutter from many aspect, such as ground and sea.
Jie Yu   +3 more
openaire   +1 more source

DYNet: A Printed Book Detection Model Using Dual Kernel Neural Networks

open access: yesSensors, 2023
Target detection has always been a hotspot in image processing/computer vision research, and small-target detection is a frequently encountered problem in the field of target detection.
Lubin Wang   +3 more
doaj   +1 more source

RESRTDETR: Cross-Scale Feature Enhancement Based on Reparameterized Convolution and Channel Modulation

open access: yesIEEE Access
This paper proposes an innovative approach for detecting defects in insulators of overhead transmission lines. It employs a real-time object detector (RT-DETR) model named RESRTDETR to address the challenges faced by traditional methods in multi-object ...
Chen Xi   +5 more
doaj   +1 more source

Unordered Stacked Pillbox Detection Algorithm Based on Improved YOLOv8

open access: yesBig Data and Cognitive Computing
To enable fully automated medicine warehousing in intelligent pharmacy systems, accurately detecting disordered, stacked pillboxes is essential. This paper proposes a high-precision detection algorithm for such scenarios based on an improved YOLOv8 ...
Jiahang Pan   +5 more
doaj   +1 more source

An improved UAV target detection algorithm based on ASFF-YOLOv5s

open access: yesMathematical Biosciences and Engineering, 2023
Object detection in drone-captured scenarios is a recent popular task. Due to the high flight altitude of unmanned aerial vehicle (UAV), the large variation of target scales, and the existence of dense occlusion of targets, in addition to the high ...
Siyuan Shen   +5 more
doaj   +1 more source

Potential Early Risk Biomarkers for Reduced Forced Expiratory Volume in Children Post‐Hematopoietic Cell Transplantation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small   +3 more
wiley   +1 more source

Lightweight Detection Method of Wheelset Tread Defects Based on Improved YOLOv7

open access: yesApplied Sciences
Accurate online inspection of train wheelset tread defects is challenging owing to the variety and position uncertainty of defects. This study develops an improved YOLOv7 model capable of inspecting various wheelset tread defects with high accuracy and ...
Peng Yang   +5 more
doaj   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus   +6 more
wiley   +1 more source

CCRANet: A Two-Stage Local Attention Network for Single-Frame Low-Resolution Infrared Small Target Detection

open access: yesRemote Sensing, 2023
Infrared small target detection technology is widely used in infrared search and tracking, infrared precision guidance, low and slow small aircraft detection, and other projects. Its detection ability is very important in terms of finding unknown targets
Wenjing Wang   +7 more
doaj   +1 more source

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