HIGHLIGHTS
- who: Qifan Wang and colleagues from the School of Compute Science and Artificial Intelligence, Wuhan University of Technology, School of Compute Science, Wuhan University, Wuhan, China have published the paper: Part-Aware Refinement Network for OcclusionVehicle Detection, in the Journal: Electronics 2022, 11, 1375. of /2022/
- what: To tackle this issue the authors propose a network which combines multi-scale training and component confidence generation strategies in Specifically the authors divide the original single-valued prediction confidence and adopt the confidence of the visible of the to correct the absolute confidence of the That reduces . . .
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.