We present YOLO, a new approach to object detection.
Prior work on object detection repurposes classifiers to per-form detection. Instead, we frame object detection as a re-gression problem to spatially separated bounding boxes and associated class...
We train generative ’up-convolutional’ neural networks which are able to generate images of objects given object style, viewpoint, and color. We train the networks on rendered 3D models of chairs, tables, and cars. Our experiments show that the...