Focal Loss for Dense Object Detection

ICCV 2017 Tsung-Yi LinPriya GoyalRoss GirshickKaiming HePiotr Dollár

The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations. In contrast, one-stage detectors that are applied over a regular, dense sampling of possible object locations have the potential to be faster and simpler, but have trailed the accuracy of two-stage detectors thus far... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Object Detection COCO RetinaNet Bounding Box AP 40.8 # 24