VRSDNet: vehicle re-identification with a shortly and densely connected convolutional neural network
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6270-4
Abstract: Vehicle re-identification aiming to match vehicle images captured by different cameras plays an important role in video surveillance for public security. In this paper, we solve Vehicle Re-identification with a Shortly and Densely connected convolutional… read more here.
Keywords: connected convolutional; vehicle; vrsdnet; vehicle identification ... See more keywords
A multi-purpose image forensic method using densely connected convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-019-00866-x
Abstract: Multi-purpose forensics is attracting increasing attention worldwide. In this paper, we propose a multi-purpose method based on densely connected convolutional neural networks (CNNs) for simultaneous detection of 11 different types of image manipulations. An efficient… read more here.
Keywords: multi purpose; connected convolutional; image; method ... See more keywords
Dynamic response reconstruction for structural health monitoring using densely connected convolutional networks
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DOI: 10.1177/1475921720916881
Abstract: This article proposes a novel dynamic response reconstruction approach for structural health monitoring using densely connected convolutional networks. Skip connection and dense block techniques are carefully applied in the designed network architecture, which greatly facilitates… read more here.
Keywords: connected convolutional; health monitoring; response; structural health ... See more keywords