Results 31 to 40 of about 151,483 (263)

Improvement of small objects detection in thermal images

Integrated Computer-Aided Engineering, 2023
Thermal images are widely used for various applications such as safety, surveillance, and Advanced Driver Assistance Systems (ADAS). However, these images typically have low contrast, blurred aspect, and low resolution, making it difficult to detect distant and small-sized objects.
Maxence Chaverot, Maxime Carré, Michel Jourlin, Abdelaziz Bensrhair, Richard Grisel   +4 more
openaire   +1 more source

Adaptive Slicing-Aided Hyper Inference for Small Object Detection in High-Resolution Remote Sensing Images

Remote Sensing, 2023
In the field of object detection, deep learning models have achieved great success in recent years. Despite these advances, detecting small objects remains difficult. Most objects in aerial images have features that are a challenge for traditional object
Hao Zhang, Chuanyan Hao, Wanru Song, Bo Jiang, Baozhu Li   +4 more
doaj   +1 more source

Small Object Detection using Context and Attention [PDF]

2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2021
There are many limitations applying object detection algorithm on various environments. Especially detecting small objects is still challenging because they have low resolution and limited information. We propose an object detection method using context for improving accuracy of detecting small objects. The proposed method uses additional features from
Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee   +3 more
openaire   +2 more sources

Skip DETR: end-to-end Skip connection model for small object detection in forestry pest dataset

Frontiers in Plant Science, 2023
Object detection has a wide range of applications in forestry pest control. However, forest pest detection faces the challenges of a lack of datasets and low accuracy of small target detection.
Bing Liu, Bing Liu, Yixin Jia, Luyang Liu, Yuanyuan Dang, Shinan Song   +5 more
doaj   +1 more source

An Adaptive Network for Arbitrary-Oriented and Small Object Detection in Remote Sensing Images

IEEE Access
To address the challenges posed by detection of arbitrary orientation object and small object in remote sensing imagery, this paper proposes an innovative object detection model based on YOLOv8, named YOLOv8-DFS.
Zhiyong Zeng, Chao Wu, Wenqi Zeng
doaj   +1 more source

Small Object Detection Method Based on Adaptive Spatial Parallel Convolution and Fast Multi-Scale Fusion

Remote Sensing, 2022
As one type of object detection, small object detection has been widely used in daily-life-related applications with many real-time requirements, such as autopilot and navigation.
Guanqiu Qi, Yuanchuan Zhang, Kunpeng Wang, Neal Mazur, Yang Liu, Devanshi Malaviya   +5 more
doaj   +1 more source

Small object detection neurons in female hoverflies [PDF]

Proceedings of the Royal Society B: Biological Sciences, 2006
While predators such as dragonflies are dependent on visual detection of moving prey, social interactions make conspecific detection equally important for many non-predatory insects. Specialized ‘acute zones’ associated with target detection have evolved in several insect groups and are a prominent male-specific feature in many dipteran flies.
Nordstrom, K., O'Carroll, D.
openaire   +3 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Enhanced Lightweight Object Detection Model in Complex Scenes: An Improved YOLOv8n Approach

Information
Object detection has a vital impact on the analysis and interpretation of visual scenes. It is widely utilized in various fields, including healthcare, autonomous driving, and vehicle surveillance.
Sohaya El Hamdouni, Boutaina Hdioud, Sanaa El Fkihi   +2 more
doaj   +1 more source

Intrinsic Relationship Reasoning for Small Object Detection

CoRR, 2020
The small objects in images and videos are usually not independent individuals. Instead, they more or less present some semantic and spatial layout relationships with each other. Modeling and inferring such intrinsic relationships can thereby be beneficial for small object detection.
Kui Fu, Jia Li 0003, Lin Ma 0002, Kai Mu, Yonghong Tian 0001   +4 more
openaire   +2 more sources