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You Only Look Once: Unified, Real-Time Object Detection

Data up to Jan 2025

Published2016
Citations35,900
References41

Total Citations Per Year

Abstract

References (41)

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Scalable Object Detection Using Deep Neural Networks

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Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model

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Object Detection Networks on Convolutional Feature Maps

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Learning to Localize Objects with Structured Output Regression

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Fast, Accurate Detection of 100,000 Object Classes on a Single Machine

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The Fastest Deformable Part Model for Object Detection

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Region-Based Segmentation and Object Detection

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30Hz Object Detection with DPM V5

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R-CNN minus R

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Towards Unified Object Detection and Semantic Segmentation

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Object Detection Networks on Convolutional Feature Maps

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The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs

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Detecting People in Cubist Art

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Detecting people in Cubist art

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Do More Dropouts in Pool5 Feature Maps for Better Object Detection

2014 • 8 citations

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You Only Look Once: Unified, Real-Time Object Detection (2016) | Metascience Observatory Explorer