2.9k citations · 3.1k across the 4 of their papers we have counts for
5 papers
A Strong Balanced-Softmax Classifier-Retraining Baseline for Long-Tailed Recognition
Juan Terven, Diana Margarita Córdova Esparza, Julio Alejandro Romero Gonzalez +4
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 r…
Land Cover Image Classification
Antonio Rangel, Juan Terven, Diana M. Cordova-Esparza +1
Land Cover (LC) image classification has become increasingly significant in understanding environmental changes, urban planning, and disaster management. However, traditional LC me…
Loss Functions and Metrics in Deep Learning
Juan Terven, Diana M. Cordova-Esparza, Alfonso Ramirez-Pedraza +2
This paper presents a comprehensive review of loss functions and performance metrics in deep learning, highlighting key developments and practical insights across diverse applicati…
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
Juan Terven, Diana Cordova-Esparza
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 evolutio…
Telepresence System based on Simulated Holographic Display
Diana-Margarita Córdova-Esparza, Juan Terven, Hugo Jiménez-Hernández +2
We present a telepresence system based on a custom-made simulated holographic display that produces a full 3D model of the remote participants using commodity depth sensors. Our di…