1. #DataAugmentation 2. #ObjectDetection 3. #FrameworkDesign 4. #IoU 5. #DataExpansion 6. #FeaturePyramidModule 7. #FocalLoss 8. #SmoothL1Loss 9. #IntersectionOverUnion 10. #AveragePrecision The overall framework used in this paper is dedicated to improving object detection precision and reducing overfitting. The framework starts with data augmentation, expanding the dataset to enhance training and implement an anchor-free detector for […]
