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How do you learn object detection?

Feature extraction

Image segmentation

Object detection

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Papers (6)	Insight
Open access•Book Chapter•DOI Learning Region Features for Object Detection Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai - Show less +4 more 08 Sep 2018 56 Citations	It moves further towards fully learnable object detection.
Open access•Journal Article•DOI Object detection and basic-level categorization: sometimes you know it is there before you know what it is. Michael Mack, Isabel Gauthier, Javid Sadr, Thomas J. Palmeri - Show less +3 more 01 Feb 2008-Psychonomic Bulletin & Review 95 Citations	The time course of object detection and object categorization can be selectively manipulated.
Proceedings Article•DOI Natural object detection in outdoor scenes based on probabilistic spatial context models Jiebo Luo, Amit Singhal, Weiyu Zhu - Show less +2 more 06 Jul 2003 13 Citations	Experimental results show that the spatial context models improve the accuracy of natural object detection by 13% over the individual object detectors themselves.
Open access•Dissertation•DOI Interactions of visual attention and object recognition : computational modeling, algorithms, and psychophysics. Dirk B. Walther 01 Jan 2006 111 Citations	Finding suitable features can be interpreted as an inversion of object detection.
Open access•DOI Random Decision Forests for Object Detection Juanjuan Ma, Pan Quan, Zhao Chunhui, Yizhai Zhang, Liu Liu, Yang Lv - Show less +5 more 01 Jan 2014	The experimental results show that our object detection approach achieves real-time performance and good object detection results.
Open access•Proceedings Article•DOI Fast and Automatic Detection and Segmentation of unknown objects Gert Kootstra, Niklas Bergström, Danica Kragic - Show less +2 more 01 Dec 2010 34 Citations	The results show that both the object-detection as well as the object-segmentation method are successful and outperform existing methods.

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How to do object detection with AI?5 answersObject detection with AI involves using deep learning models to accurately identify and locate objects in images or videos. Various techniques have been developed to improve the accuracy and transparency of object detection systems. One approach is to use black-box explanation methods, such as the Black-box Object Detection Explanation by Masking (BODEM)method. BODEM generates multiple versions of an input image by applying local and distant masks to disturb pixels within and outside the target object. By measuring the difference in detection output before and after masking, a saliency map and heatmap are created to visualize the importance of pixels to the detected objects. Another approach is to enhance object detection performance on embedded devices by using multi-view for the same scene. This can be achieved through a system of distributed smart cameras, where each camera integrates a convolutional neural network (CNN) for detection. Implementing light networks on the distributed cameras can lead to better detection performance and reduced power consumption. Overall, object detection with AI involves leveraging deep learning models, explainable AI methods, and distributed systems to improve accuracy, transparency, and efficiency in detecting objects.

What is the significance of object detection in education?5 answersObject detection has significance in education as it can be used to improve learning outcomes in various subjects. For example, in the field of mathematics, manipulatives such as shape tiles can be used to teach geometry to young children aged 5-8. By combining smaller shapes to form larger ones, children learn important skills early on. However, detecting the orientation of densely packed objects with arbitrary orientations can be challenging. Computer vision algorithms can be used to overcome this challenge and provide real-time audiovisual feedback to enhance the learning experience. Additionally, object detection can be applied in other educational domains, such as computer vision education, where it is important to train specialists in the basics of object detection and tracking using computer vision algorithms.

How long does it take to train object detection?12 answers

How to Train an object detection?7 answers

How to train a model for object detection?6 answers

Is object detection supervised learning?8 answers

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