… methods of object detection, covering the traditional machine learning methods and the
mainstream deep learning methods in … and disadvantages of these methods are compared and …

… We compare various object detection methods on three benchmark data sets, including
PASCAL VOC 2007 [25], PASCAL VOC 2012[121], and Microsoft COCO[94]. The evaluated …

… In Section II, we review the 20 years of evolution of object detection. In Section III, we review
the speedup techniques in object detection. The state-of-the-art detection methods of the …

… Detection methods that segment objects are also steadily improving and are now deployed
for various applications, particularly in augmented and virtual reality scenarios. Figure 3 …

… to object detection. Prior work on object detection repurposes classifiers to perform detection.
… Fast YOLO is the fastest object detection method on PASCAL; as far as we know, it is the …

… rela ted to object detection. In Section 2, we outline the concepts and processes of the
YOLOv4-tiny object detection method. I n Section 3 we describe our proposed method. In Section 4…

… tracking objects in a video sequence, namely object detection, object classification and
object tracking. We survey the different methods available for detecting, classifying and tracking …

… related object detection and instance segmentation methods. … for improving detection
performance on small objects. First, we … object detection; 2) context information is lacking for small …

… proposal method closely rivals salience-based methods in … to directly learn region proposal
methods is a key advantage … demonstrated a method for high-quality object detection that …

… State-of-the-art methods of object detection are based on convolutional neural networks.
For example, SPPnet [11], Fast R-CNN [9], Faster R-CNN [25], R-FCN [5], and YOLO [24] use …