2019 · 12 citations · 15 references
Convolutional Neural NetworkEngineeringFeature DetectionSmall ObjectsLow-resolution ImageSmall Object DetectionSuper-resolution ImagingImage ClassificationImage AnalysisPattern RecognitionSingle-image Super-resolutionVideo Super-resolutionMachine VisionObject DetectionDeep LearningMedical Image ComputingSignal ProcessingComputer VisionSuper- Resolution RecoveryGenerative Adversarial Network
Small object detection is the key challenge to aerial image object detection. Small objects in aerial images are usually too fuzzy to detect. This paper proposes a solution by using Generative Adversarial Network to recover small objects' low-resolution image to high-resolution to get better detection performance. Experiment result shows this solution achieves mAP 68.38% and missing rate 14.23%.
15
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick et al. · 2017 · 27.7K citations
Feature Pyramid Networks, Convolutional Neural Network, Image Analysis +14
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszár et al. · 2017 · 12K citations