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Everything about Object detection
Computer technology related to computer vision and image processing
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class in digital images and videos. Well-researched domains of object detection include face detection and pedestrian detection. Object detection has applications in many areas of computer vision, including image retrieval and video surveillance. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Object detectionA 5-minute orientation
- Skim a recent paper: Object Detection in 20 Years: A SurveyInfluential work since 2022
- Pick up a classic book: The flying saucer mysteryThe most-reprinted book on the subject
- Read the landmark paper: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksCited 36,417 times
- Go sideways: Region-based convolutional neural networkA closely related topic
- Go sideways: You Only Look OnceA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Object Detection with Discriminatively Trained Part-Based Models
Focal Loss for Dense Object Detection
Object Detection With Deep Learning: A Review
🆕 Influential since 2022
Object Detection in 20 Years: A Survey
Object detection using YOLO: challenges, architectural successors, datasets and applications
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
UIU-Net: U-Net in U-Net for Infrared Small Object Detection
UAV-YOLOv8: A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Photography Scenarios
📚 Books worth reading
The flying saucer mysteryLeslie McFarlane · 1980
Cam Jansen and the mystery of the U.F.O.David A. Adler · 1980
The Cat Who Saw Stars (A Jim Qwilleran Feline Whodunnit)Lilian Jackson Braun · 1998- 📕UFO Spotted!Hilde Lysiak, Matthew Lysiak · 2018
The ten word gameJonathan Gash · 2003
The Sirian conspiracyMichael Jan Friedman · 1999
The case of the close encounterLaura Lee Hope · 1988
The AlienMercer Mayer, Erica Farber · 1995
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Region-based convolutional neural network Region-based convolutional neural networks (R-CNN) are a family of machine learning models for computer vision, and specifically object detection and localizati…
- You Only Look Once You Only Look Once (YOLO) is a series of real-time object detection systems based on convolutional neural networks. First introduced by Joseph Redmon et…
- Small object detection Small object detection is a particular case of object detection where various techniques are employed to detect small objects in digital images and videos…
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- Convolutional neural network A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep…
- Xiaoming Liu Xiaoming Liu is a Chinese-American computer scientist and an academic. He is a professor in the Department of Computer Science and Engineering, MSU Foundation…
- Template matching Template matching is a technique in digital image processing for finding small parts of an image which match a template image. It can be used for quality…
- Saliency map In computer vision, a saliency map is an image that highlights either the region on which people's eyes focus first or the most relevant regions for machine…