You Only Look Once: Unified, Real-Time Object Detection
文章目录 Abstract 1. Introduction 2. Unified Detection 2.1. Network Design 2.2. Training 2.3. Inference 2.4. Limitations of YOLO 3. Comparison to Other Detection Systems 4. Experiments 4.1. Comparison to Other Real-Time Systems 4.2. VOC 2007 Error Analysis 4.3. Combining Fast R-CNN and YOLO 4.4. VOC 2012 Results 4.5. Generalizability: Person Detection in Artwork 5. Real-Time Detection In The Wild 6. Conclusion Abstract 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