Unveiling the content of frontal feedback in challenging object recognition by Nastaran Darjani, Jalaledin Noroozi, Mohammad-Reza A. Dehaqani

“…Object recognition under challenging real-world conditions, including partial occlusion, remains an enduring focus of investigation in cognitive visual neuroscience. …”
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Loss Architecture Search for Few-Shot Object Recognition by Jun Yue, Zelang Miao, Yueguang He, Nianchun Du

“…Few-shot object recognition, which exploits a set of well-labeled data to build a classifier for new classes that have only several samples per class, has received extensive attention from the machine learning community. …”
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A human single-neuron dataset for object recognition by Runnan Cao, Peter Brunner, Nicholas J. Brandmeir, Jon T. Willie, Shuo Wang

“…Abstract Object recognition is fundamental to how we interact with and interpret the world around us. …”
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Vision-Based Object Recognition and Precise Localization for Space Body Control by Zeyu Shangguan, Lingyu Wang, Jianquan Zhang, Wenbo Dong

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A Patient with Difficulty of Object Recognition: Semantic Amnesia for Manipulable Objects by A. Yamadori, Y. Yoneda, H. Yamashita, K. Sugiura

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Deep learning for object recognition: A comprehensive review of models and algorithms by Paschalis Tsirtsakis, Georgios Zacharis, George S. Maraslidis, George F. Fragulis

Subjects: “…Object recognition…”
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CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People by Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee

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Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking by Mahmoud Elmezain, Lyes Saad Saoud, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain

“…Recent advancements in deep learning (DL) have demonstrated remarkable success in overcoming these challenges by enabling robust feature extraction, image enhancement, and object recognition. This review provides a comprehensive analysis of cutting-edge deep learning architectures designed for underwater object detection, segmentation, and tracking. …”
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Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

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Biologically Motivated Novel Localization Paradigm by High-Level Multiple Object Recognition in Panoramic Images by Sungho Kim, Min-Sheob Shim

“…HVSs actively use the information of the object recognition results for self-position localization and for viewing direction. …”
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Object Recognition and Pose Estimation on Embedded Hardware: SURF-Based System Designs Accelerated by FPGA Logic by Michael Schaeferling, Ulrich Hornung, Gundolf Kiefer

“…State-of-the-art object recognition and pose estimation systems often utilize point feature algorithms, which in turn usually require the computing power of conventional PC hardware. …”
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Effects of Quetiapine on Novelty‐Related Object Recognition Memory and Hippocampal BDNF Level in Sleep‐Deprived Rats by Öznur Özge Özcan, Burcu Çevreli, Emel Serdaroğlu Kaşıkçı, Mesut Karahan, Muhsin Konuk

“…The present study aimed to evaluate the effects of treatment with QET on novel object recognition and hippocampal (hippo) brain‐derived neurotrophic factor (BDNF) levels in rats submitted to 72 h sleep deprivation (SD). …”
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Figure-ground segmentation based on motion in the archerfish by Svetlana Volotsky, Ronen Segev

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Automation of urban technological census. The historical centre of Bethlehem by Elisabetta Doria

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Visual Impairment Spatial Awareness System for Indoor Navigation and Daily Activities by Xinrui Yu, Jafar Saniie

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A deep learning based detection algorithm for anomalous behavior and anomalous item on buses by Shida Liu, Yu Bi, Qingyi Li, Ye Ren, Honghai Ji, Li Wang

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Improving Autonomous Vehicle Cognitive Robustness in Extreme Weather With Deep Learning and Thermal Camera Fusion by Mehmood Nawaz, Sheheryar Khan, Muhammad Daud, Muhammad Asim, Ghazanfar Ali Anwar, Ali Raza Shahid, Ho Pui Aaron HO, Tom Chan, Daniel Pak Kong, Wu Yuan

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Precision Imaging for Early Detection of Esophageal Cancer by Po-Chun Yang, Chien-Wei Huang, Riya Karmakar, Arvind Mukundan, Tsung-Hsien Chen, Chu-Kuang Chou, Kai-Yao Yang, Hsiang-Chen Wang

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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

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The use of technical vision in flexible production systems to determine coordinates of randomly located objects by K. V. Averkov, D. S. Makashin

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