Results 1 to 10 of about 8,220 (97)
Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach
Frontiers in Computer Science, 2022 We tackle the task of cross-domain visual geo-localization, where the goal is to geo-localize a given query image against a database of geo-tagged images, in the case where the query and the database belong to different visual domains.
Valerio Paolicelli +5 more
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A Survey on Deep Visual Place Recognition
IEEE Access, 2021 In recent years visual place recognition (VPR), i.e., the problem of recognizing the location of images, has received considerable attention from multiple research communities, spanning from computer vision to robotics and even machine learning.
Carlo Masone, Barbara Caputo
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, 2021 AbstractThe widespread use of technology in the digital age continually shapes how individuals consume knowledge and learn. In the digital age, ideas are shared and represented in multiple formats and through the integration of multiple modes. Technological advances, coupled with considerations of the changing needs of today’s learners, call for ...
Bettyjo Bouchey +2 more
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MULTIMODAL MODEL MELALUI E-LEARNING PADA MATA KULIAH GEOMETRI BIDANG DI MASA PANDEMI COVID 19
Aksioma: Jurnal Program Studi Pendidikan Matematika, 2021 Pada masa pandemi covid 19 pembelajaran dilaksanakan secara online dengan memanfaatkan e-learning. Multimodal model merupakan komponen pokok dalam pembelajaran online, yang meliputi konten, sosial emosional, tanya jawab, refleksi dan evaluasi. Penelitian
Titin Masfingatin +4 more
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Mobile Augmented Reality Based on Multimodal Inputs for Experiential Learning
IEEE Access, 2022 The power of mobile devices has been harnessed as a platform for augmented reality (AR) that has embarked on opportunities to combine more inputs called multimodal inputs.
Nurhazarifah Che Hashim +4 more
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Multimodality as universality: Designing inclusive accessibility to graphical information
Frontiers in Education, 2023 Graphical representations are ubiquitous in the learning and teaching of science, technology, engineering, and mathematics (STEM). However, these materials are often not accessible to the over 547,000 students in the United States with blindness and ...
Stacy A. Doore +6 more
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Multimodal learning with graphs
Nature Machine Intelligence, 2023 Artificial intelligence for graphs has achieved remarkable success in modeling complex systems, ranging from dynamic networks in biology to interacting particle systems in physics. However, the increasingly heterogeneous graph datasets call for multimodal methods that can combine different inductive biases: the set of assumptions that algorithms use to
Yasha Ektefaie +4 more
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NeuroImage, 2020 Insular cortex is a core hub involved in multiple cognitive and socio-affective processes. Yet, the anatomical mechanisms that explain how it is involved in such a diverse array of functions remain incompletely understood.
Jessica Royer +11 more
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Deep Vision Multimodal Learning: Methodology, Benchmark, and Trend
Applied Sciences, 2022 Deep vision multimodal learning aims at combining deep visual representation learning with other modalities, such as text, sound, and data collected from other sensors.
Wenhao Chai, Gaoang Wang
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Research trends in multimodal learning analytics: A systematic mapping study
Computers and Education: Artificial Intelligence, 2023 Understanding and improving education are critical goals of learning analytics. However, learning is not always mediated or aided by a digital system that can capture digital traces.
Hamza Ouhaichi +2 more
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