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Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid… Expand The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is… Expand We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection… Expand We present region-based, fully convolutional networks for accurate and efficient object detection. In contrast to previous region… Expand Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best… Expand Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search… Expand There is general consensus that context can be a rich source of information about an object's identity, location and scale. In… Expand This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much… Expand This paper describes a machine learning approach for visual object detection which is capable of processing images extremely… Expand This paper presents a general trainable framework for object detection in static images of cluttered scenes. The detection… Expand