Object detection

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of… (More)
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Papers overview

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Review
2017
Review
2017
Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical… (More)
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Highly Cited
2017
Highly Cited
2017
Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid… (More)
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Highly Cited
2017
Highly Cited
2017
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is… (More)
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Highly Cited
2016
Highly Cited
2016
We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection… (More)
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Highly Cited
2014
Highly Cited
2014
Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best… (More)
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Highly Cited
2014
Highly Cited
2014
• Lighting. When an object is in bright light, it looks brighter than when it’s in shadow, so a program can’t just look at image… (More)
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Highly Cited
2014
Highly Cited
2014
The use of object proposals is an effective recent approach for increasing the computational efficiency of object detection. We… (More)
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Highly Cited
2014
Highly Cited
2014
Multi-resolution image features may be approximated via extrapolation from nearby scales, rather than being computed explicitly… (More)
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Highly Cited
2002
Highly Cited
2002
We present an approach for learning to detect objects in still gray images, that is based on a sparse, part-based representation… (More)
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Highly Cited
2001
Highly Cited
2001
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely… (More)
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