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YOLOv8 to YOLO11: A Comprehensive Architecture In-depth Comparative Review
http://arxiv.org/abs/2501.13400v4 · arxiv
Note: This is a preliminary version of the manuscript. The final, peer-reviewed, and substantially revised version has been published in Jurnal RESTI. Readers are encouraged to access and cite the published version: DOI: https://doi.org/10.29207/resti.v10i2.6598 In the field of deep learning-based
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Context in object detection: a systematic literature review
http://arxiv.org/abs/2503.23249v1 · arxiv
Context is an important factor in computer vision as it offers valuable information to clarify and analyze visual data. Utilizing the contextual information inherent in an image or a video can improve the precision and effectiveness of object detectors. For example, where recognizing an isolated obj
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A Brief Review of Hypernetworks in Deep Learning
http://arxiv.org/abs/2306.06955v3 · arxiv
Hypernetworks, or hypernets for short, are neural networks that generate weights for another neural network, known as the target network. They have emerged as a powerful deep learning technique that allows for greater flexibility, adaptability, dynamism, faster training, information sharing, and mod
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Fluctuations and Higgs mechanism in Under-Doped Cuprates: a Review
http://arxiv.org/abs/1906.10146v1 · arxiv
The physics of the pseudo-gap phase of high temperature cuprate superconductors has been an enduring mystery in the past thirty years. The ubiquitous presence of the pseudo-gap phase in under-doped cuprates suggests that its understanding holds a key in unraveling the origin of high temperature supe
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YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series
http://arxiv.org/abs/2406.19407v8 · arxiv
This review systematically examines the progression of the You Only Look Once (YOLO) object detection algorithms from YOLOv1 to the recently unveiled YOLOv12. Employing a reverse chronological analysis, this study examines the advancements introduced by YOLO algorithms, beginning with YOLOv12 and pr
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Reformulation Techniques for Automated Planning: A Systematic Review
http://arxiv.org/abs/2301.10079v2 · arxiv
Automated planning is a prominent area of Artificial Intelligence, and an important component for intelligent autonomous agents. A cornerstone of domain-independent planning is the separation between planning logic, i.e. the automated reasoning side, and the knowledge model, that encodes a formal re
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How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
http://arxiv.org/abs/2503.13467v2 · arxiv
Background: Metacognition has gained significant attention for its potential to enhance autonomy and adaptability of artificial agents but remains a fragmented field: diverse theories, terminologies, and design choices have led to disjointed developments and limited comparability across systems. Exi
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Learning for routing: A guided review of recent developments and future directions
http://arxiv.org/abs/2507.00218v1 · arxiv
This paper reviews the current progress in applying machine learning (ML) tools to solve NP-hard combinatorial optimization problems, with a focus on routing problems such as the traveling salesman problem (TSP) and the vehicle routing problem (VRP). Due to the inherent complexity of these problems,
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Monte Carlo Tree Search: A Review of Recent Modifications and Applications
http://arxiv.org/abs/2103.04931v4 · arxiv
Monte Carlo Tree Search (MCTS) is a powerful approach to designing game-playing bots or solving sequential decision problems. The method relies on intelligent tree search that balances exploration and exploitation. MCTS performs random sampling in the form of simulations and stores statistics of act
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The Quantum Revolution in Philosophy (Book Review)
http://arxiv.org/abs/2110.12102v1 · arxiv
In this thought-provoking book, Richard Healey proposes a new interpretation of quantum theory inspired by pragmatist philosophy. Healey puts forward the interpretation as an alternative to realist quantum theories on the one hand such as Bohmian mechanics, spontaneous collapse theories, and many-wo
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