CN117456480A - Light vehicle re-identification method based on multi-source information fusion - Google Patents
Light vehicle re-identification method based on multi-source information fusion Download PDFInfo
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- CN117456480A CN117456480A CN202311769679.6A CN202311769679A CN117456480A CN 117456480 A CN117456480 A CN 117456480A CN 202311769679 A CN202311769679 A CN 202311769679A CN 117456480 A CN117456480 A CN 117456480A
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Cited By (1)
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CN117975173A (en) * | 2024-04-02 | 2024-05-03 | 华侨大学 | Child evil dictionary picture identification method and device based on light-weight visual converter |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113240580A (en) * | 2021-04-09 | 2021-08-10 | 暨南大学 | Lightweight image super-resolution reconstruction method based on multi-dimensional knowledge distillation |
CN114005096A (en) * | 2021-11-09 | 2022-02-01 | 河北工业大学 | Vehicle weight recognition method based on feature enhancement |
CN114022697A (en) * | 2021-09-18 | 2022-02-08 | 华侨大学 | Vehicle re-identification method and system based on multitask learning and knowledge distillation |
CN114299559A (en) * | 2021-12-27 | 2022-04-08 | 杭州电子科技大学 | Finger vein identification method based on lightweight fusion global and local feature network |
CN114912532A (en) * | 2022-05-20 | 2022-08-16 | 电子科技大学 | Multi-source heterogeneous sensing data fusion method for automatic driving automobile |
CN116703947A (en) * | 2023-06-30 | 2023-09-05 | 太原科技大学 | Image semantic segmentation method based on attention mechanism and knowledge distillation |
WO2023207437A1 (en) * | 2022-04-28 | 2023-11-02 | 长安大学 | Scene flow digital twin method and system based on dynamic trajectory flow |
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Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113240580A (en) * | 2021-04-09 | 2021-08-10 | 暨南大学 | Lightweight image super-resolution reconstruction method based on multi-dimensional knowledge distillation |
CN114022697A (en) * | 2021-09-18 | 2022-02-08 | 华侨大学 | Vehicle re-identification method and system based on multitask learning and knowledge distillation |
CN114005096A (en) * | 2021-11-09 | 2022-02-01 | 河北工业大学 | Vehicle weight recognition method based on feature enhancement |
CN114299559A (en) * | 2021-12-27 | 2022-04-08 | 杭州电子科技大学 | Finger vein identification method based on lightweight fusion global and local feature network |
WO2023207437A1 (en) * | 2022-04-28 | 2023-11-02 | 长安大学 | Scene flow digital twin method and system based on dynamic trajectory flow |
CN114912532A (en) * | 2022-05-20 | 2022-08-16 | 电子科技大学 | Multi-source heterogeneous sensing data fusion method for automatic driving automobile |
CN116703947A (en) * | 2023-06-30 | 2023-09-05 | 太原科技大学 | Image semantic segmentation method based on attention mechanism and knowledge distillation |
Non-Patent Citations (2)
Title |
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周鹏;姚剑敏;林志贤;严群;郭太良;: "融合注意力机制的移动端人像分割网络", 液晶与显示, no. 06, 15 June 2020 (2020-06-15) * |
权宇;李志欣;张灿龙;马慧芳;: "融合深度扩张网络和轻量化网络的目标检测模型", 电子学报, no. 02, 15 February 2020 (2020-02-15) * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117975173A (en) * | 2024-04-02 | 2024-05-03 | 华侨大学 | Child evil dictionary picture identification method and device based on light-weight visual converter |
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