Object Detection Series

Jonathan Hui

2 min readSep 10, 2018

Overview

What do we learn from region-based object detectors (Faster R-CNN, R-FCN, FPN)?

In this series, we will take a comprehensive journey on object detection. In Part 1 here, we cover the region based…

medium.com

What do we learn from single shot object detectors (SSD, YOLOv3), FPN & Focal loss (RetinaNet)?

In part 2, we will have a comprehensive review of single shot object detectors including SSD and YOLO (YOLOv2 and…

medium.com

Single-shot methods

SSD object detection: Single Shot MultiBox Detector for real-time processing

SSD are designed for object detection in real-time. Faster R-CNN uses a region proposal network to create boundary…

medium.com

Real-time Object Detection with YOLO, YOLOv2 and now YOLOv3

You only look once (YOLO) is an object detection system targeted for real-time processing. We will introduce YOLO…

medium.com

YOLOv4

While object detection matures in the last few years, the competition remains fierce. As shown below, YOLOv4 claims to…

medium.com

Region-based methods

Image segmentation with Mask R-CNN

In a previous article, we discuss the use of region based object detector like Faster R-CNN to detect objects. Instead…

medium.com

Understanding Region-based Fully Convolutional Networks (R-FCN) for object detection

Intuition

medium.com

Others

Understanding Feature Pyramid Networks for object detection (FPN)

Detecting objects in different scales is challenging in particular for small objects. We can use a pyramid of the same…

medium.com

Comparison

Design choices, lessons learned and trends for object detections?

Detectors, like region-based detectors or single shot detectors, start from different paths but look much similar now…

medium.com

Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and…

It is very hard to have a fair comparison among different object detectors. There is no straight answer on which model…

medium.com

Application

How deep learning fakes videos (Deepfakes) and how to detect it?

Fabrication of celebrity porn pics is nothing new. However, in late 2017, a user on Reddit named Deepfakes started…

medium.com

Basics

mAP (mean Average Precision) for Object Detection

mAP is the metric to measure the accuracy of object detectors like Faster R-CNN, SSD, etc. It is the average of the…

medium.com

Object Detection Series

Overview

What do we learn from region-based object detectors (Faster R-CNN, R-FCN, FPN)?

In this series, we will take a comprehensive journey on object detection. In Part 1 here, we cover the region based…

What do we learn from single shot object detectors (SSD, YOLOv3), FPN & Focal loss (RetinaNet)?

In part 2, we will have a comprehensive review of single shot object detectors including SSD and YOLO (YOLOv2 and…

Single-shot methods

SSD object detection: Single Shot MultiBox Detector for real-time processing

SSD are designed for object detection in real-time. Faster R-CNN uses a region proposal network to create boundary…

Real-time Object Detection with YOLO, YOLOv2 and now YOLOv3

You only look once (YOLO) is an object detection system targeted for real-time processing. We will introduce YOLO…

YOLOv4

While object detection matures in the last few years, the competition remains fierce. As shown below, YOLOv4 claims to…

Region-based methods

Image segmentation with Mask R-CNN

In a previous article, we discuss the use of region based object detector like Faster R-CNN to detect objects. Instead…

Understanding Region-based Fully Convolutional Networks (R-FCN) for object detection

Intuition

Others

Understanding Feature Pyramid Networks for object detection (FPN)

Detecting objects in different scales is challenging in particular for small objects. We can use a pyramid of the same…

Comparison

Design choices, lessons learned and trends for object detections?

Detectors, like region-based detectors or single shot detectors, start from different paths but look much similar now…

Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and…

It is very hard to have a fair comparison among different object detectors. There is no straight answer on which model…

Application

How deep learning fakes videos (Deepfakes) and how to detect it?

Fabrication of celebrity porn pics is nothing new. However, in late 2017, a user on Reddit named Deepfakes started…

Basics

mAP (mean Average Precision) for Object Detection

mAP is the metric to measure the accuracy of object detectors like Faster R-CNN, SSD, etc. It is the average of the…

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Written by Jonathan Hui

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