Results 51 to 60 of about 29,223 (229)
An Anti-UAV Long-Term Tracking Method with Hybrid Attention Mechanism and Hierarchical Discriminator
To prevent unmanned aerial vehicles (UAVs) from threatening public security, anti-UAV object tracking has become a critical issue in industrial and military applications.
Feng Cheng +5 more
doaj +1 more source
Identifying First-person Camera Wearers in Third-person Videos
We consider scenarios in which we wish to perform joint scene understanding, object tracking, activity recognition, and other tasks in environments in which multiple people are wearing body-worn cameras while a third-person static camera also captures ...
Crandall, David J. +6 more
core +1 more source
SiaN-VO: Siamese Network for Visual Odometry
Despite the significant advancements in drone sensory device reliability, data integrity from these devices remains critical in securing successful flight plans. A notable issue is the vulnerability of GNSS to jamming attacks or signal loss from satellites, potentially leading to incomplete drone flight plans.
Bruno S. Faiçal +2 more
openaire +3 more sources
Co-Inference Discriminative Tracking Through Multi-Task Siamese Network
In essence, visual tracking is a matching problem without any prior information about a class-agnostic object. By leveraging large scale off-line training data, recent trackers based on Siamese networks usually expect to pre-learn underlying similarity ...
Yan Chen, Jixiang Du, Bineng Zhong
doaj +1 more source
Multimodal One-Shot Learning of Speech and Images
Imagine a robot is shown new concepts visually together with spoken tags, e.g. "milk", "eggs", "butter". After seeing one paired audio-visual example per class, it is shown a new set of unseen instances of these objects, and asked to pick the "milk ...
Eloff, Ryan +2 more
core +1 more source
Adaptive Siamese Tracking with a Compact Latent Network
Accepted at ...
Xingping Dong +4 more
openaire +3 more sources
Why human connection is the true metric of research success
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source
SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks
Object tracking based on visible images may fail when the visible images are unreliable, for example when the illumination condition is poor. Infrared images reveal thermal radiation of objects and are insensitive to these factors.
Xingchen Zhang +5 more
doaj +1 more source
Non-Intrusive Adaptive Load Identification Based on Siamese Network
The traditional non-intrusive load monitoring (NILM) algorithms are mostly based on classification models, which have several deficiencies. Firstly, a large amount of labeled data is required to train the classification model.
Miao Yu +4 more
doaj +1 more source
Recognizing and Curating Photo Albums via Event-Specific Image Importance
Automatic organization of personal photos is a problem with many real world ap- plications, and can be divided into two main tasks: recognizing the event type of the photo collection, and selecting interesting images from the collection.
Cottrell, Garrison W. +5 more
core +1 more source

