HIGHLIGHTS
- who: YOLO and colleagues from the School of Information Engineering, East China Jiaotong University, Nanchang, China have published the research: VaryBlock: A Novel Approach for Object Detection in Remote Sensed Images, in the Journal: (JOURNAL)
- what: The authors propose a highly efficient and robust framework called VaryBlock, which can effectively remedy some of the information loss caused by down-sampling. The authors aim to study how to offset the information loss and damage caused by down-sampling. A modified YOLO framework is designed, which succeeded in making better use of the semantic information of the . . .
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.