R-CNN | BestHub

政采云技术

Mar 9, 2023 · Artificial Intelligence

Comprehensive Overview of Object Detection: From Traditional Methods to Modern Deep Learning Models

This article provides a comprehensive overview of object detection, describing traditional sliding‑window approaches, deep‑learning based two‑stage and one‑stage models such as R‑CNN, Faster R‑CNN, YOLO series, and discusses current challenges, improvement directions, and future research trends in the field.

R-CNNYOLOcomputer vision

0 likes · 29 min read

Comprehensive Overview of Object Detection: From Traditional Methods to Modern Deep Learning Models

政采云技术

Mar 9, 2023 · Artificial Intelligence

Comprehensive Overview of Object Detection: From Traditional Methods to Modern Deep Learning Models

This article provides a comprehensive overview of object detection, detailing traditional sliding‑window approaches, deep‑learning based two‑stage and one‑stage models such as R‑CNN, Fast R‑CNN, Faster R‑CNN, Mask R‑CNN, and the YOLO family, and discusses current challenges and future research directions.

R-CNNYOLO

0 likes · 26 min read

Meitu Technology

Aug 14, 2018 · Artificial Intelligence

Survey of Deep Learning Based Object Detection Algorithms

This survey reviews two‑stage and one‑stage deep learning object detection methods—from early R‑CNN and OverFeat to modern Faster R‑CNN, Mask R‑CNN, SSD, and YOLO variants—detailing their architectural advances, training strategies, speed‑accuracy trade‑offs, and benchmark performance for researchers and industry practitioners.

R-CNNSurveyYOLO

0 likes · 30 min read

Survey of Deep Learning Based Object Detection Algorithms

HomeTech

Aug 7, 2018 · Artificial Intelligence

Overview of Object Detection Algorithms: Two‑Stage and One‑Stage Methods

This article reviews the evolution of visual object detection, explaining traditional region‑based approaches, the rise of deep‑learning two‑stage frameworks such as R‑CNN, Fast R‑CNN and Faster R‑CNN, and the faster one‑stage models like Overfeat, YOLO, SSD and RetinaNet, together with their design choices, training strategies and loss functions.

R-CNNSSDYOLO

0 likes · 17 min read

Overview of Object Detection Algorithms: Two‑Stage and One‑Stage Methods