Results 71 to 80 of about 296,550 (316)

Centered Multi-Task Generative Adversarial Network for Small Object Detection

Sensors, 2021
Despite the breakthroughs in accuracy and efficiency of object detection using deep neural networks, the performance of small object detection is far from satisfactory. Gaze estimation has developed significantly due to the development of visual sensors.
Hongfeng Wang, Jianzhong Wang, Kemeng Bai, Yong Sun   +3 more
doaj   +1 more source

CenterNet++ for Object Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
11 pages, 9 figures, 8 tables.
Kaiwen Duan, Song Bai 0001, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian 0001   +5 more
openaire   +3 more sources

Contextualizing Object Detection and Classification [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
We investigate how to iteratively and mutually boost object classification and detection performance by taking the outputs from one task as the context of the other one. While context models have been quite popular, previous works mainly concentrate on co-occurrence relationship within classes and few of them focus on contextualization from a top-down ...
Chen, Qiang, Song, Zheng, Dong, Jian, Huang, Zhongyang, Hua, Yang, Yan, Shuicheng   +5 more
openaire   +4 more sources

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Toward Versatile Small Object Detection with Temporal-YOLOv8

Sensors
Deep learning has become the preferred method for automated object detection, but the accurate detection of small objects remains a challenge due to the lack of distinctive appearance features.
Martin C. van Leeuwen, Ella P. Fokkinga, Wyke Huizinga, Jan Baan, Friso G. Heslinga   +4 more
doaj   +1 more source

Software Development of Autonomous Vehicle For Real-Time Object Detection

, 2023
Object detection techniques help us classify objects in images and locate their exact position. This thesis aims to provide an in-depth analysis of the well-known YOLO family of object detection techniques.
Zafar, Talha Yaseen
core  

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Improving object detection by enhancing the effect of localisation quality evaluation on detection confidence

IET Computer Vision
The one‐stage object detector has been widely applied in many computer vision applications due to its high detection efficiency and simple framework.
Zuyi Wang, Wei Zhao, Li Xu
doaj   +1 more source

Lightweight marine biodetection model based on improved YOLOv10

Alexandria Engineering Journal
In IoT-enabled marine biology, real-time monitoring of marine organisms faces challenges due to blurred images and complex underwater backgrounds, which hinder feature extraction and lead to missed detections.
Wei Pan, Jiabao Chen, Bangjun Lv, Likun Peng   +3 more
doaj   +1 more source

Vision based landmark detection for UAV navigation [PDF]

, 2012
The majority of Unmanned Aerial Vehicles (UAV) available today depend on Global Position Satellites (GPS) and inertial measurement units (IMU) for state estimation used in navigation and control.
Elliott, Alexander William
core