Focal Loss for Dense Object Detection

ICCV 2017 • Tsung-Yi Lin • Priya Goyal • Ross Girshick • Kaiming He • Piotr 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)

PDF Abstract

Code
Add Remove

Tasks
Add Remove

Evaluation results from the paper
Add Remove

#24 best model for Object Detection on COCO

     Get a GitHub badge
Task Dataset Model Metric name Metric value Global rank Compare
Object Detection COCO RetinaNet Bounding Box AP 40.8 # 24
See all
Contact us on: [email protected]. Papers With Code is a free resource supported by Atlas ML.
Terms Privacy Cookies policy