Results 51 to 60 of about 27,149 (269)
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
IEEE Access, 2020 Trackers based on Siamese networks show great potential in tracking accuracy and speed. However, it is still challenging to adapt offline training model to online tracking. In this paper, a Siamese based tracker (SCRPN-CISA) is proposed, which integrates
Zhoujuan Cui +3 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
SiaN-VO: Siamese Network for Visual Odometry
Sensors, 2023 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
Online Siamese Network for Visual Object Tracking
Sensors, 2019 Offline-trained Siamese networks are not robust to the environmental complication in visual object tracking. Without online learning, the Siamese network cannot learn from instance domain knowledge and adapt to appearance changes of targets.
Shuo Chang +3 more
doaj +1 more source
Research on Siamese Object Tracking Algorithm Based on Knowledge Distillation in Marine Environment
IEEE Access, 2023 Siamese networks have gained considerable attention for object tracking due to their balance of speed and accuracy. However, existing Siamese tracking algorithms have been too rigid in their predictions of bounding box tags and lack uncertainty ...
Yihong Zhang +3 more
doaj +1 more source
Adaptive Siamese Tracking with a Compact Latent Network
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Accepted at ...
Xingping Dong +4 more
openaire +3 more sources
, 2018 Designing an end-to-end deep learning network to match the biometric features with limited training samples is an extremely challenging task. To address this problem, we propose a new way to design an end-to-end deep CNN framework i.e., PVSNet that works
Jaswal, Gaurav +3 more
core +1 more source
Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.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
Efficient Visual Tracking With Stacked Channel-Spatial Attention Learning
IEEE Access, 2020 Template based learning, particularly Siamese networks, has recently become popular due to balancing accuracy and speed. However, preserving tracker robustness against challenging scenarios with real-time speed is a primary concern for visual object ...
Md. Maklachur Rahman +2 more
doaj +1 more source