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Juan Terven

3 papers indexed

arxivcs.LGcs.CV2026-07-10

A Strong Balanced-Softmax Classifier-Retraining Baseline for Long-Tailed Recognition

Juan Terven, Diana Margarita Córdova Esparza, Julio Alejandro Romero Gonzalez, Edgar Arturo Chávez Urbiola, Francisco Javier Willars Rodriguez, Juan Bautista Hurtado Ramos, et al.

Long-tailed recognition methods often modify losses, margins, or representations to reduce the dominance of frequent classes. We ask whether, after Balanced Softmax training, the remaining tail error can be reduced by retraining only the classifier. We evaluate BS-cRT, a two-stag…

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crossrefAgriculture2024-11-30Cited by 26

Trends in Machine and Deep Learning Techniques for Plant Disease Identification: A Systematic Review

Diana-Carmen Rodríguez-Lira, Diana-Margarita Córdova-Esparza, José M. Álvarez-Alvarado, Juan Terven, Julio-Alejandro Romero-González, Juvenal Rodríguez-Reséndiz

This review explores the use of machine learning (ML) techniques for detecting pests and diseases in crops, which is a significant challenge in agriculture, leading to substantial yield losses worldwide. This study focuses on the integration of ML models, particularly Convolution…

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crossrefMachine Learning and Knowledge Extraction2023-11-20Cited by 2662

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

Juan Terven, Diana-Margarita Córdova-Esparza, Julio-Alejandro Romero-González

YOLO has become a central real-time object detection system for robotics, driverless cars, and video monitoring applications. We present a comprehensive analysis of YOLO’s evolution, examining the innovations and contributions in each iteration from the original YOLO up to YOLOv8…

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