Object detection in videos is an important task in computer vision for various applications
such as object tracking, video summarization and video search. Although great progress has …

The rapid rise of technological advancements led to the increased consumption of electronic
gadgets. This change expedited the requirement for sustainable technologies to meet the …

Advanced video analytic systems, including scene classification and object detection, have
seen widespread success in various domains such as smart cities and autonomous …

Many intelligent applications based on deep neural networks (DNNs) are increasingly
running on Internet of Things (IoT) devices. Unfortunately, the computing resources of these …

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 …

Video object detection (VOD) has been a rising topic in recent years due to the challenges
such as occlusion, motion blur, etc. To deal with these challenges, feature aggregation from …

Detecting objects in a video, known as Video Object Detection (VOD), is challenging since
appearance changes of objects over time may bring detection errors. Recent research has …

In recent years, significant progress has been made in video instance segmentation (VIS),
with many offline and online methods achieving state-of-the-art performance. While offline …

In recent years, the excellent image-based object detection algorithms are transferred to the
video object detection directly. These frame-by-frame processing methods are suboptimal …

Object detection in videos has drawn increasing attention since it is more practical in real
scenarios. Most of the deep learning methods use CNNs to process each decoded frame in …