Varyblock: a novel approach for object detection in remote sensed images

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 . . .

     

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