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 is a fundamental but challenging issue in the field of generic image
analysis; it plays an important role in a wide range of applications and has been receiving …

We address the problem of real-time 3D object detection from point clouds in the context of
autonomous driving. Speed is critical as detection is a necessary component for safety …

In this work we adapt multi-person pose estimation architecture to use it on edge devices.
We follow the bottom-up approach from OpenPose, the winner of COCO 2016 Keypoints …

This paper aims to achieve real-time and accurate detection of surface defects by using a
deep learning method. For this purpose, the Single Shot MultiBox Detector (SSD) network …

This paper presents a novel end-to-end system for table understanding in document images
called DeepDeSRT. In particular, the contribution of DeepDeSRT is two-fold. First, it …

Abstract Ship detection from Synthetic Aperture Radar (SAR) imagery is attracting increasing
attention due to its great value in ocean. However, existing most studies are frequently …

The PASCAL VOC Challenge performance has been significantly boosted by the prevalently
CNN-based pipelines like Faster R-CNN. However, directly applying the Faster R-CNN to …

Text detection and recognition in natural images have long been considered as two
separate tasks that are processed sequentially. Jointly training two tasks is non-trivial due to …

This paper introduces an online model for object detection in videos with real-time
performance on mobile and embedded devices. Our approach combines fast single-image …