Results 51 to 60 of about 32,689 (273)
Identifying First-person Camera Wearers in Third-person Videos
, 2017 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
Siamese tracking combing frequency channel attention with adaptive template
IET Communications, 2021 Siamese network based the tracker is a hot topic in the field of visual object tracking. However, Siamese trackers still have a robustness gap compared with state‐of‐the‐art algorithms. Therefore, focusing on the issue, this letter adds Frequency Channel
Haibo Pang +4 more
doaj +1 more source
Co-Inference Discriminative Tracking Through Multi-Task Siamese Network
IEEE Access, 2021 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
Learning weakly supervised multimodal phoneme embeddings
, 2017 Recent works have explored deep architectures for learning multimodal speech representation (e.g. audio and images, articulation and audio) in a supervised way. Here we investigate the role of combining different speech modalities, i.e.
Chaabouni, Rahma +3 more
core +3 more sources
Non-Intrusive Adaptive Load Identification Based on Siamese Network
IEEE Access, 2022 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
Multimodal One-Shot Learning of Speech and Images
, 2019 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
Posterior Cortical Atrophy in the Asia‐Pacific: A Report From the PCA Asian Workgroup
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Posterior Cortical Atrophy (PCA) is a distinct dementia syndrome primarily affecting spatial abilities and visual processing. It is associated with degeneration in the posterior part of the brain. PCA is subclassified into PCA‐pure and PCA‐plus syndromes based on consensus criteria.
Yuttachai Likitjaroen +11 more
wiley +1 more source
SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks
IEEE Access, 2019 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
Frontiers in Behavioral Neuroscience, 2022 Accurate tracking is the basis of behavioral analysis, an important research method in neuroscience and many other fields. However, the currently available tracking methods have limitations.
Lihui Su +8 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein +4 more
wiley +1 more source