
A comprehensive review of object detection with traditional and deep ...
Dec 1, 2025 · The section on deep learning models provides a comprehensive overview of one-stage and two-stage object detectors. A detailed discussion is given of the transformer-based detectors …
Introduction to object detection with deep learning
Sep 29, 2023 · The evolution of object detection models starting from machine learning models utilizing hand crafted features to transformer architectures.
Abstract: The Advanced Object Detection System is an innovative deep learning solution designed to accurately detect and identify objects in images. Utilizing convolutional neural networks (CNNs), the …
Object Detection Binary Classifiers methodology based on deep learning ...
Apr 22, 2020 · We propose improving their detection in videos using a two level methodology based on deep learning, called Object Detection with Binary Classifiers. The first level selects the candidate …
(PDF) Real-time Object Detection Using Deep Learning
Jun 15, 2023 · In this article, we present an end-to-end solution to the object detection problem using a deep learning based method.
Real-Time Waste Detection and Classification Using YOLOv12-Based Deep …
Jun 9, 2025 · Some recent advances in artificial intelligence, like deep learning and computer vision, open avenues for the automation of waste detection and classification to make the waste …
Deep Learning for Object Detection : Beginners Friendly guide
Aug 8, 2021 · Object detection is a relatively old task in computer vision, but deep learning has pushed the performance in object detection tasks by a large margin, upward. When it comes to deep learning …
What is Object Detection in Computer Vision? - GeeksforGeeks
Nov 6, 2025 · Deep Learning Methods for Object Detection Types of object detection methods: Two-Stage Detectors: These detectors work in two stages: first, they will propose candidate region and …
YOLO-based Object Detection Models: A Review and its Applications
Mar 14, 2024 · In computer vision, object detection is the classical and most challenging problem to get accurate results in detecting objects. With the significant advancement of deep learning techniques …
Quantitative comparison and performance evaluation of deep learning ...
Mar 1, 2024 · This work aims to make a more comprehensive evaluation of deep learning-based object detection models taking all relevant criteria into account. This includes the acquisition of devices, and …