Vehicle re-identification using quadruple directional deep learning features
In order to resist the adverse effect of viewpoint variations, we design quadruple directional
deep learning networks to extract quadruple directional deep learning features (QD-DLF) of …
deep learning networks to extract quadruple directional deep learning features (QD-DLF) of …
[引用][C] Vehicle Re-Identification Using Quadruple Directional Deep Learning Features
J Zhu, H Zeng, J Huang, S Liao, Z Lei, C Cai… - IEEE Transactions on …, 2020 - cir.nii.ac.jp
Vehicle Re-Identification Using Quadruple Directional Deep Learning Features | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ …
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ …
Vehicle Re-identification Using Quadruple Directional Deep Learning Features
J Zhu, H Zeng, J Huang, S Liao, Z Lei, C Cai… - arXiv preprint arXiv …, 2018 - arxiv.org
In order to resist the adverse effect of viewpoint variations for improving vehicle re-
identification performance, we design quadruple directional deep learning networks to …
identification performance, we design quadruple directional deep learning networks to …
Vehicle Re-identification Using Quadruple Directional Deep Learning Features
J Zhu, H Zeng, J Huang, S Liao, Z Lei, C Cai… - arXiv e …, 2018 - ui.adsabs.harvard.edu
In order to resist the adverse effect of viewpoint variations for improving vehicle re-
identification performance, we design quadruple directional deep learning networks to …
identification performance, we design quadruple directional deep learning networks to …
Vehicle Re-Identification Using Quadruple Directional Deep Learning Features
J Zhu, H Zeng, J Huang, S Liao, Z Lei, C Cai… - IEEE Transactions on …, 2020 - trid.trb.org
In order to resist the adverse effect of viewpoint variations, the authors design quadruple
directional deep learning networks to extract quadruple directional deep learning features …
directional deep learning networks to extract quadruple directional deep learning features …