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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… 
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Related topics

Related topics

15 relations
Ant roboticsCellCognitionComputer visionDeep learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Object Detection Algorithms for Video Surveillance Applications
Object Detection algorithms find application in various fields such as defence, security, and healthcare. In this paper various… 
Highly Cited
2017
Highly Cited
2017
Deep Level Sets for Salient Object Detection
Deep learning has been applied to saliency detection in recent years. The superior performance has proved that deep networks can… 
Highly Cited
2016
Highly Cited
2016
Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection
In Convolutional Neural Network (CNN)-based object detection methods, region proposal becomes a bottleneck when objects exhibit… 
Highly Cited
2015
Highly Cited
2015
Salient object detection via bootstrap learning
We propose a bootstrap learning algorithm for salient object detection in which both weak and strong models are exploited. First… 
Highly Cited
2015
Highly Cited
2015
Weakly supervised object detection with convex clustering
Weakly supervised object detection, is a challenging task, where the training procedure involves learning at the same time both… 
Highly Cited
2013
Highly Cited
2013
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection
We propose a novel approach to both learning and detecting local contour-based representations for mid-level features. Our… 
Highly Cited
2010
Highly Cited
2010
Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among… 
Review
2008
Review
2008
Moving Object Detection in Spatial Domain using Background Removal Techniques - State-of-Art
Identifying moving objects is a critical task for many computer vision applications; it provides a classification of the pixels… 
Highly Cited
2008
Highly Cited
2008
Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings
  • EvoWorkshops
  • 2008
  • Corpus ID: 23378582
Highly Cited
1999
Highly Cited
1999
Real-time object detection for "smart" vehicles
This paper presents an efficient shape-based object detection method based on Distance Transforms and describes its use for real… 
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