You Only Look Once: Unified, Real-Time Object Detection
@article{Redmon2015YouOL, title={You Only Look Once: Unified, Real-Time Object Detection}, author={Joseph Redmon and Santosh Kumar Divvala and Ross B. Girshick and Ali Farhadi}, journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2015}, pages={779-788} }
We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation. Since the whole detection pipeline is a single network, it can be optimized end-to-end directly on detection performance… CONTINUE READING