An overview of object detection: one-stage methods.
Bounding box object detectors: understanding YOLO, You Look Only Once
JMSE | Free Full-Text | Detection of Small Ship Objects Using Anchor Boxes Cluster and Feature Pyramid Network Model for SAR Imagery | HTML
What are Anchor Boxes in Object Detection?
Frontiers | Deep Convolutional Networks for Construction Object Detection Under Different Visual Conditions | Built Environment
Understanding Anchors(backbone of object detection) using YOLO | by Stephen Oni | Becoming Human: Artificial Intelligence Magazine
Object Detection and Classification using R-CNNs | Telesens
Bounding box transformation. Each grid center has K anchors with... | Download Scientific Diagram
Anchor Boxes for Object Detection - MATLAB & Simulink
Anchor Boxes for Object Detection - MATLAB & Simulink
13.4. Anchor Boxes — Dive into Deep Learning 0.17.5 documentation
Forget the hassles of Anchor boxes with FCOS: Fully Convolutional One-Stage Object Detection | by Vandit Jain | Towards Data Science
Anchor Boxes — The key to quality object detection | Towards Data Science
13.4. Anchor Boxes — Dive into Deep Learning 0.17.5 documentation
How to Implement a YOLO (v3) Object Detector from Scratch in PyTorch: Part 1 - KDnuggets
Deeplearning.ai CNN week 3: Object detection | by Nguyễn Văn Lĩnh | datatype | Medium
5 Anchor boxes are used to predict the face area inside the bounding... | Download Scientific Diagram
Anchor Free Object Detection | Qiang Zhang
Recent Advances in Deep Learning for Object Detection - Part 2 | DLology
When, Where and How to Use Anchor Boxes for Deep Learning
Overview of the state-of-the-art You Only Look Once (YOLO) family for... | Download Scientific Diagram
Deep Learning OCR: Deep Learning Algorithm and Robotics Process Automation(RPA) to Extract and Automate Invoice Data | by Kunal Bhashkar | Medium
An Enhanced Region Proposal Network for object detection using deep learning method | PLOS ONE
Object Detection and Classification using R-CNNs | Telesens
Region Proposal Network — A detailed view | by Sambasivarao. K | Towards Data Science
