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Object detection

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of… Expand
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15 relations
Ant roboticsCellCognitionComputer visionDeep learning
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… Expand
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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… Expand
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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… Expand
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Highly Cited
2016
Highly Cited
2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
We present region-based, fully convolutional networks for accurate and efficient object detection. In contrast to previous region… Expand
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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… Expand
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Highly Cited
2009
Highly Cited
2009
Multiple kernels for object detection
Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search… Expand
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Highly Cited
2004
Highly Cited
2004
Contextual Priming for Object Detection
  • A. Torralba
  • International Journal of Computer Vision
  • 2004
    • Corpus ID: 1073705
There is general consensus that context can be a rich source of information about an object's identity, location and scale. In… Expand
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Highly Cited
2004
Highly Cited
2004
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much… Expand
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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… Expand
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Highly Cited
1998
Highly Cited
1998
A general framework for object detection
This paper presents a general trainable framework for object detection in static images of cluttered scenes. The detection… Expand
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