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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Ant roboticsCellCognitionComputer visionDeep learning
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Papers overview

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Review
2017
Review
2017
A survey on deep learning in medical image analysis
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 Pyramid Networks for Object Detection
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
Focal Loss for Dense Object Detection
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
You Only Look Once: Unified, Real-Time Object Detection
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
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
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
Object Detection with Discriminatively Trained Part-Based Models
• 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
Edge Boxes: Locating Object Proposals from Edges
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
Fast Feature Pyramids for Object Detection
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
Learning a Sparse Representation for Object Detection
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
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely… (More)
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