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Scholarly articles for Object Detection summary
Deep learning for generic object detection: A survey
Liu • Cited by 1217
… learning based geospatial object detection: a summary …
Xie • Cited by 10
Salient object detection: A benchmark
Borji • Cited by 1649

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Object detection is an important computer vision task used to detect instances of visual objects of certain classes (for example, humans, animals, cars, or buildings) in digital images such as photos or video frames.9 Jul 2021
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by X Wang2020Cited by 2Object detection is one of the most basic and central task in computer vision. Its task is to find all the interested objects in the image, ...
22 May 2019Image classification involves predicting the class of one object in an image. Object localization refers to identifying the location of one or ...
11 Jul 2018The goal of object detection is to recognize instances of a predefined set of object classes (e.g. {people, cars, bikes, animals}) and describe ...
by S Li2020Abstract. Object recognition is one of the classic problems in computer vision. It is very important for computers to recognize the common objects in life ...
21 Jun 2021Object detection is a supervised machine learning problem, which means you must train your models on labeled examples. Each image in the ...
Brief History of object detectors ... Object detection combines the tasks of object classification and localization. ... The first deep neural network for object ...
Object detection is a computer vision technique that works to identify and locate objects within an image or video. Specifically, object detection draws ...
Overview. “Object Detection Series” is published by Jonathan Hui.
by ZQ Zhao2018Cited by 1996Our review begins with a brief introduction on the history of deep learning and its representative tool, namely Convolutional Neural Network. (CNN). Then we ...

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