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Prompt learning in computer vision: a survey
Prompt learning has attracted broad attention in computer vision since the large pre-trained vision-language models (VLMs) exploded. Based on the...
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Computer Vision
In recent years, one of the most transformative subfields of machine learning has been computer vision. With substantial breakthroughs in the early...
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Computer Vision
Computer Vision ist die Wissenschaft, die sich mit der Verarbeitung und Analyse von Bildern beschäftigt. Sie kommt in verschiedensten...
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Hyperbolic Deep Learning in Computer Vision: A Survey
Deep representation learning is a ubiquitous part of modern computer vision. While Euclidean space has been the de facto standard manifold for...
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Computer Vision
Computer vision is an essential field of artificial intelligence (AI). Under the scope of this field, the software is made to perceive the data...
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Computer vision for wildfire detection: a critical brief review
In this critical brief review, we explore the pivotal role of computer vision in wildfire detection, following the PRISMA methodology and focusing on...
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A survey on computer vision approaches for automated classification of skin diseases
Skin diseases are a significant concern for public health, demanding accurate diagnosis for effective treatment. However, traditional diagnostic...
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Adversarial attacks in computer vision: a survey
Deep learning, as an important topic of artificial intelligence, has been widely applied in various fields, especially in computer vision...
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Tackling class imbalance in computer vision: a contemporary review
Class imbalance is a key issue affecting the performance of computer vision applications such as medical image analysis, objection detection and...
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Visual complexity of urban streetscapes: human vs computer vision
Understanding visual complexity of urban environments may improve urban design strategies and limit visual pollution due to advertising, road...
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A review of convolutional neural networks in computer vision
In computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object...
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Capsule networks for computer vision applications: a comprehensive review
Convolutional neural networks (CNNs) have achieved human-level performance in various computer vision tasks, such as image classification, object...
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Computer Vision Overview
Computer vision is an information subject/discipline that uses computers to realize the functions of human vision system (HVS). This book mainly...
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The ethics of computer vision: an overview in terms of power
Computer vision is a subfield of artificial intelligence, aimed at making computers see. Computer vision tools enable a system or device to...
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Safety-critical computer vision: an empirical survey of adversarial evasion attacks and defenses on computer vision systems
Considering the growing prominence of production-level AI and the threat of adversarial attacks that can poison a machine learning model against a...
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Deep learning and computer vision approach - a vision transformer based classification of fruits and vegetable diseases (DLCVA-FVDC)
As technology progresses, automation gains importance. The automation might be in a large-scale industry with more employees and heavy capital...
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Towards a New Paradigm for Brain-inspired Computer Vision
Brain-inspired computer vision aims to learn from biological systems to develop advanced image processing techniques. However, its progress so far is...
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Image Fuzzy Edge Information Segmentation Based on Computer Vision and Machine Learning
Image segmentation is a key problem in the field of machine vision. Its core goal is to separate the target and background in the region of interest...
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Automated assessment of pen and paper tests using computer vision
Computer vision is one of the artificial intelligence’s most challenging fields, enabling computers to interpret, analyse and derive meaningful...
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Light field imaging for computer vision: a survey
Light field (LF) imaging has attracted attention because of its ability to solve computer vision problems. In this paper we briefly review the...