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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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Ant roboticsCellCognitionComputer visionDeep learning
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
As an important problem in computer vision, salient object detection (SOD) from images has been attracting an increasing amount… Expand
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Review
2019
Review
2019
Object Detection in 20 Years: A Survey
Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in… Expand
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Review
2019
Review
2019
A review on deep learning techniques for 3D sensed data classification
Over the past decade deep learning has driven progress in 2D image understanding. Despite these advancements, techniques for… Expand
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Review
2019
Review
2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate… Expand
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Review
2019
Review
2019
Review of Visual Saliency Detection With Comprehensive Information
The visual saliency detection model simulates the human visual system to perceive the scene and has been widely used in many… Expand
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Review
2019
Review
2019
A Survey on 3D Object Detection Methods for Autonomous Driving Applications
An autonomous vehicle (AV) requires an accurate perception of its surrounding environment to operate reliably. The perception… Expand
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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… 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
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
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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