JADD-GAN: A Joint Attention Generative Adversarial Data Fusion Network for Object Detection and Tracking

被引：0

作者：

Xu, Guoxia ^{[1
]}

Wang, Hao ^{[1
]}

Zhao, Meng ^{[2
]}

Zhu, Hu ^{[3
]}

机构：

[1] Norwegian University of Science and Technology, Department of Computer Science, Gjovik, Norway

[2] School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China

[3] School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

来源：

Proceedings - 24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022 | 2022年

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D O I：

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学科分类号：

摘要：

Attention mechanisms - Data fusion networks - Densely connected networks - Dual discriminator - Fused images - Generative adversarial network - Infrared and visible image - Joint attention - Multi-scale densely connected network - Multi-scales

引用

页码：1829 / 1836