Results 1 to 10 of about 16,694 (100)
A Short Video Classification Framework Based on Cross-Modal Fusion
Sensors, 2023 The explosive growth of online short videos has brought great challenges to the efficient management of video content classification, retrieval, and recommendation.
Nuo Pang +3 more
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Progress of Materials and Devices for Neuromorphic Vision Sensors
Nano-Micro Letters, 2022 The latest developments in bio-inspired neuromorphic vision sensors can be summarized in 3 keywords: smaller, faster, and smarter. (1) Smaller: Devices are becoming more compact by integrating previously separated components such as sensors, memory, and ...
Sung Woon Cho +3 more
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Micromachines, 2022 Impedance measuring acquisition systems focused on breast tumor detection, as well as image processing techniques for 3D imaging, are reviewed in this paper in order to define potential opportunity areas for future research.
Juan Carlos Gómez-Cortés +6 more
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Remote Sensing Based Crop Type Classification Via Deep Transfer Learning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Machine learning methods using aerial imagery (satellite and unmanned-aerial-vehicles-based imagery) have been extensively used for crop classification. Traditionally, per-pixel-based, object-based, and patch-based methods have been used for classifying ...
Krishna Karthik Gadiraju +1 more
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IEEE Access, 2021 The first phase of table recognition is to detect the tabular area in a document. Subsequently, the tabular structures are recognized in the second phase in order to extract information from the respective cells.
Khurram Azeem Hashmi +5 more
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Legume Science, 2023 Pulse grains are phenotypically diverse varying in colour, size, shape, and uniformity and have been integrated within many cultures and cuisines for several thousand years.
Linda McDonald, Joe Panozzo
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Parallelization of the Honeybee Search Algorithm for Object Tracking
Applied Sciences, 2020 Object tracking refers to the relocation of specific objects in consecutive frames of a video sequence. Presently, this visual task is still considered an open research issue, and the computer science community attempted solutions from the standpoint of ...
Oscar E. Perez-Cham +5 more
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On Isotropy of Multimodal Embeddings
Information, 2023 Embeddings, i.e., vector representations of objects, such as texts, images, or graphs, play a key role in deep learning methodologies nowadays. Prior research has shown the importance of analyzing the isotropy of textual embeddings for transformer-based ...
Kirill Tyshchuk +5 more
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Plant Methods, 2020 Background The knowledge of vine vegetative status within a vineyard plays a key role in canopy management in order to achieve a correct vine balance and reach the final desired yield/quality.
Salvatore Filippo Di Gennaro +1 more
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IEEE Access, 2018 Deep learning is one of the major promising machine learning methodologies. Deep learning is widely used in various application domains, e.g., image recognition, voice recognition, and natural language processing.
Shinyoung Ahn +3 more
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