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Mind the semantic gap: semantic efficiency in human computer interfaces [PDF]

open access: yesFrontiers in Artificial Intelligence
As we become increasingly dependent on technology in our daily lives, the usability of HCIs is a key driver of individual empowerment for us all. A primary focus of AI systems has been to make HCIs easier to use by identifying what users need and ...
James Horsley
doaj   +4 more sources

Mind the gap: another look at the problem of the semantic gap in image retrieval [PDF]

open access: yesSPIE Proceedings, 2006
This paper attempts to review and characterise the problem of the semantic gap in image retrieval and the attempts being made to bridge it. In particular, we draw from our own experience in user queries, automatic annotation and ontological techniques.
Paul H Lewis
exaly   +4 more sources

USCT-UNet: Rethinking the Semantic Gap in U-Net Network From U-Shaped Skip Connections With Multichannel Fusion Transformer

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering
Medical image segmentation is a crucial component of computer-aided clinical diagnosis, with state-of-the-art models often being variants of U-Net. Despite their success, these models’ skip connections introduce an unnecessary semantic gap between
Xiaoshan Xie, Min Yang
doaj   +3 more sources

Research on Semantic Gap Problem of Virtual Machine

open access: yesWireless Personal Communications, 2017
Semantic gap is a major challenge for virtualization security applications. Many researches have been carried out represented by virtual machine introspection around bridging the semantic gap. This paper analyzes the causes of semantic gap problem, discusses the differences of current semantic gap bridging method in the aspects of extracting and view ...
Bo Zhao, Wang Xiaorui, Zhao Rongcai
exaly   +4 more sources

A Multiscale and Multipath Network With Boundary Enhancement for Building Footprint Extraction From Remotely Sensed Imagery

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Due to its high efficiency and low cost, automatic extraction of building footprints from remotely sensed imagery has long been an important means to obtain building footprint information, which can be easily implemented using existing fully ...
Hua Zhang   +3 more
doaj   +1 more source

MSFNet: modality smoothing fusion network for multimodal aspect-based sentiment analysis

open access: yesFrontiers in Physics, 2023
Multimodal aspect-based sentiment classification (MABSC) aims to determine the sentiment polarity of a given aspect in a sentence by combining text and image information.
Yan Xiang   +5 more
doaj   +1 more source

Automatic Image Annotation by Sequentially Learning From Multi-Level Semantic Neighborhoods

open access: yesIEEE Access, 2021
Automatic image annotation is a key technology in image understanding and pattern recognition, and is becoming increasingly important in order to annotate large-scale images.
Houjie Li   +5 more
doaj   +1 more source

Tradition in the Post- Traditional World: National Literature as Experience of Prolongation [PDF]

open access: yesStudia Litterarum, 2020
The article examines the meaning behind the concept “tradition” as a factor in the self-determination of a national literature and its correlation with modernity.
Kazbek K. Sultanov
doaj   +1 more source

Philosophy in technology: A research program

open access: yesZagadnienia Filozoficzne w Nauce, 2023
Philosophy in technology is a research program that studies the philosophical roots of engineering and technology. Technologists, by virtue of their education, believe that the limits, goals, possibilities, and effects of technology on society and ...
Paweł Polak
doaj   +1 more source

Stacked Siamese Neural Network (SSiNN) on Neural Codes for Content-Based Image Retrieval

open access: yesIEEE Access, 2023
Content-based image retrieval (CBIR) represents a class of problems that aims at finding relevant images in response to an image-based search query. The CBIR systems use similarity measures or distance metrics between a group of representative features ...
Gopu V. R. Muni Kumar, D. Madhavi
doaj   +1 more source

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