HIGHLIGHTS
- who: Huan Ni and collaborators from the School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing Center, China Geological Survey, Nanjing, China have published the paper: Reverse Difference Network for Highlighting Small Objects in Aerial Images, in the Journal: (JOURNAL) of 29/05/2020
- what: For a deep-learning-based semantic segmentation model the main reason is that the deeper layers generate high-level semantics over considerably large receptive fields thus improving the accuracy for large objects but ignoring small objects. As the authors focus on the small objects . . .
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.