Object detection or localization is an incremental step in progression from coarse to fine
digital image inference. It not only provides the classes of the image objects, but also …

Object detection, as of one the most fundamental and challenging problems in computer
vision, has received great attention in recent years. Over the past two decades, we have …

摘要目标检测的任务是从图像中精确且高效地识别, 定位出大量预定义类别的物体实例.
随着深度学习的广泛应用, 目标检测的精确度和效率都得到了较大提升, 但基于深度学习的目标 …

Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …

With the rapid development of deep learning techniques, deep convolutional neural
networks (DCNNs) have become more important for object detection. Compared with …

Small object detection is a challenging problem in computer vision. It has been widely
applied in defense military, transportation, industry, etc. To facilitate in-depth understanding …

The superior performance of Deformable Convolutional Networks arises from its ability to
adapt to the geometric variations of objects. Through an examination of its adaptive …

Due to object detection's close relationship with video analysis and image understanding, it
has attracted much research attention in recent years. Traditional object detection methods …

Object detection, one of the most fundamental and challenging problems in computer vision,
seeks to locate object instances from a large number of predefined categories in natural …

The way that information propagates in neural networks is of great importance. In this paper,
we propose Path Aggregation Network (PANet) aiming at boosting information flow in …