YOLO: You Only Look Once
YOLOv3: An Incremental Improvement
We present some updates to YOLO! We made a bunch of little design changes to make it better. We also trained this new network that’s pretty swell. It’s a little bigger than last time but more accurate. It’s still fast though, don’t worry. At 320x320 YOLOv3 runs in 22 ms at 28.2 mAP, as accurate as SSD but three times faster. When we look at the old .5 IOU mAP detection metric YOLOv3 is quite good. It achieves 57.9 mAP@50 in 51 ms on a Titan X, compared to 57.5 mAP@50 in 198 ms by RetinaNet, similar performance but 3.8x faster. As always, all the code is online at this https URL.
Darknet
Convolutional Neural Networks http://pjreddie.com/darknet/
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
| 标题 | 内容 | 时间 |
|---|---|---|
| You Only Look Once: Unified, Real-Time Object Detection | YOLOV1 | 20150608 |
| stone: YOLO V1 V2 | ||
| X-猪: YOLO v1 v2 v3 深入理解 | 20181113 | |
| 目标检测网络之 YOLO |
