HIGHLIGHTS
- who: Yuepeng Liu and collaborators from the School of Mechanical and Electrical, Beijing Institute of Technology, Beijing, China have published the Article: Lightweight CNN-Based Method for Spacecraft Component Detection, in the Journal: Aerospace 2022, 761 of /2022/
- what: This paper proposes a convolutional neural network (CNN)-based lightweight algorithm for spacecraft A lightweight approach based on the Ghost module and channel compression is first presented to decrease the amount of processing and data storage required by the algorithm. In the experiment, the authors compare the lightweight algorithms of different backbones to show the advantages . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.