Efficient diagnostic model for iron deficiency anaemia detection: a comparison of CNN and object detection algorithms in peripheral blood smear images by Navya K. T, Seemitr Verma, Keerthana Prasad, Brij Mohan Kumar Singh

“…This study uses machine learning and computer vision techniques for the automatic identification of hypochromic microcytes from Peripheral Blood Smear (PBS) images to improve IDA diagnosis. …”
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Local kernel renormalization as a mechanism for feature learning in overparametrized convolutional neural networks by R. Aiudi, R. Pacelli, P. Baglioni, A. Vezzani, R. Burioni, P. Rotondo

“…Abstract Empirical evidence shows that fully-connected neural networks in the infinite-width limit (lazy training) eventually outperform their finite-width counterparts in most computer vision tasks; on the other hand, modern architectures with convolutional layers often achieve optimal performances in the finite-width regime. …”
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The potential of short-wave infrared hyperspectral imaging and deep learning for dietary assessment: a prototype on predicting closed sandwiches fillings by Esther Kok, Aneesh Chauhan, Michele Tufano, Edith Feskens, Guido Camps

“…We see that the main struggle in predicting the fillings lies with the spreadable fillings, meaning the model may be focusing on structural aspects and not nutritional composition.DiscussionFurther analysis on non-homogeneous mixed food items, using computer vision techniques, will contribute toward a generalizable system. …”
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Historical Blurry Video-Based Face Recognition by Lujun Zhai, Suxia Cui, Yonghui Wang, Song Wang, Jun Zhou, Greg Wilsbacher

“…Face recognition is a widely used computer vision, which plays an increasingly important role in user authentication systems, security systems, and consumer electronics. …”
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Vision Transformer untuk Klasifikasi Kematangan Pisang by Arya Pangestu, Bedy Purnama, Risnandar Risnandar

“…Oleh karena itu, teknologi computer vision dapat menjadi solusi yang efektif dalam mengklasifikasikan kematangan buah pisang secara otomatis. …”
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Integrating agent-based models and clustering methods for improving image segmentation by Erik Cuevas, Sonia Jazmín García-De-Lira, Cesar Rodolfo Ascencio-Piña, Marco Pérez-Cisneros, Sabrina Vega

“…Image segmentation through clustering is a widely used technique in computer vision that partitions an image into multiple segments by grouping pixels based on feature similarity. …”
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Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

“…Abstract Premise Automated disease, weed, and crop classification with computer vision will be invaluable in the future of agriculture. …”
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Building a Framework for Visual Question Answering Systems by Maya Abu Hamoud, Wasim Safi

“…VQA systems represent a crucial step towards the development of advanced AI systems that bridge the gap between computer vision and human language understanding, fostering a deeper and more integrated interaction with the real world. …”
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Quantum-Inspired Multi-Scale Object Detection in UAV Imagery: Advancing Ultra-Small Object Accuracy and Efficiency for Real-Time Applications by Muhammad Muzammul, Muhammad Assam, Ayman Qahmash

“…These contributions pave the way for enhanced capabilities in computer vision and autonomous aerial systems.…”
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Cloud-Based License Plate Recognition: A Comparative Approach Using You Only Look Once Versions 5, 7, 8, and 9 Object Detection by Christine Bukola Asaju, Pius Adewale Owolawi, Chuling Tu, Etienne Van Wyk

“…Determining the best approach remains paramount in the field of computer vision. This study presents a comparative analysis of various versions of the YOLO (You Only Look Once) object detection models, namely, YOLO 5, 7, 8, and 9, applied to LPR tasks in a cloud computing environment. …”
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Scene-Aware Deep Networks for Semantic Segmentation of Images by Zhike Yi, Tao Chang, Shuai Li, Ruijun Liu, Jing Zhang, Aimin Hao

“…Scene classification and semantic segmentation are two important research directions in computer vision. They are widely used in the research of automatic driving and human–computer interaction. …”
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A Novel Transformer-Based Object Detection Method With Geometric and Object Co-Occurrence Prior Knowledge for Remote Sensing Images by Nan Mo, Ruixi Zhu

“…Recently, transformer-based object detectors achieved great success in computer vision through the attention mechanism. However, these detectors lack prior information, which may limit their multiscale, multishape, and densely distributed target detection capabilities. …”
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Towards pen‐holding hand pose recognition: A new benchmark and a coarse‐to‐fine PHHP recognition network by Pingping Wu, Lunke Fei, Shuyi Li, Shuping Zhao, Xiaozhao Fang, Shaohua Teng

“…Abstract Hand pose recognition has been one of the most fundamental tasks in computer vision and pattern recognition, and substantial effort has been devoted to this field. …”
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An end-to-end homography estimation method for large baseline scenes with an attention mechanism by Zuojiang LIN, Xu CAO, Wei CHEN, Yu BAI, Bo MI, Xuewei ZHANG, Hao FANG

“…It can effectively estimate image homography and provide accurate parameter estimation for subsequent computer vision tasks such as image stitching and image correction.…”
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LeaData a novel reference data of leather images for automatic species identification by Anjli Varghese, Malathy Jawahar, A. Amalin Prince

“…Hence, this paper solely creates the bigger LeaData and presents its different versions to the digital image processing and computer vision research community. This digitized source of permissible leather species helps enable digitization in leather technology for species identification. …”
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Improved Localization and Recognition of Handwritten Digits on MNIST Dataset with ConvGRU by Yalin Wen, Wei Ke, Hao Sheng

“…Video location prediction for handwritten digits presents unique challenges in computer vision due to the complex spatiotemporal dependencies and the need to maintain digit legibility across predicted frames, while existing deep learning-based video prediction models have shown promise, they often struggle with preserving local details and typically achieve clear predictions for only a limited number of frames. …”
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Patch-Based Oil Painting Forgery Detection Based on Brushstroke Analysis Using Generative Adversarial Networks and Depth Visualization by Elhamsadat Azimi, Amirsaman Ashtari, Jaehong Ahn

“…Art authentication has traditionally required deep expertise and knowledge of an artist’s work. Recently, computer vision algorithms have shown promise in image processing tasks; however, creating an automated model for painting authentication remains a challenge in art preservation and history. …”
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Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

“…Given its wide-ranging applications, HPE has become one of the fastest-growing areas in computer vision and artificial intelligence. This review highlights the latest advances in 3D deep-learning-based HPE models, addressing the major challenges such as accuracy, real-time performance, and data constraints. …”
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The Use of Machine Learning to Support the Diagnosis of Oral Alterations by Rosana Leal do Prado, Juliane Avansini Marsicano, Amanda Keren Frois, Jacques Duílio Brancher

“…Efficient and focused on computer vision, each has specific advantages. A Kaggle database with 5192 images was used, divided into training (70%), validation (15%), and test (15%) sets. …”
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Latent space improved masked reconstruction model for human skeleton-based action recognition by Enqing Chen, Xueting Wang, Xin Guo, Ying Zhu, Dong Li

“…Human skeleton-based action recognition is an important task in the field of computer vision. In recent years, masked autoencoder (MAE) has been used in various fields due to its powerful self-supervised learning ability and has achieved good results in masked data reconstruction tasks. …”
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