2022
DOI: 10.1002/int.22857
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VSLN: View‐aware sphere learning network for cross‐view vehicle re‐identification

Abstract: Cross-view vehicle Reidentification (ReID) has attracted widespread attention as an increasingly important vision task in intelligent transportation and urban surveillance. Benefiting from Convolutional Neural Network (CNN), recent studies have promoted

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Cited by 9 publications
(1 citation statement)
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“…As the first stage of autonomous driving, perception is critical for vehicles to understand the environment. Significant progress [6,7,8,9,10,11] has been made in autonomous driving perception with the breakthroughs of deep learning [12,13,14,15,16], however, developing a reliable autonomous driving perception system remains challenging.…”
Section: Introductionmentioning
confidence: 99%
“…As the first stage of autonomous driving, perception is critical for vehicles to understand the environment. Significant progress [6,7,8,9,10,11] has been made in autonomous driving perception with the breakthroughs of deep learning [12,13,14,15,16], however, developing a reliable autonomous driving perception system remains challenging.…”
Section: Introductionmentioning
confidence: 99%