· 2017
Focal Loss for Dense Object Detection
- 26,050citations
- 2017year
Short summary
A novel 'Focal Loss' function effectively addresses the extreme class imbalance in training dense object detectors, enabling them to surpass the accuracy of slower, two-stage detectors while maintaining speed.
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Sign in on the web to openField: Computer Vision and Pattern Recognition
Computer Vision and Pattern RecognitionComputer Science