Video object detection aims at accurately localizing the objects in videos and correctly
recognizing their categories. Off-the-shelf video object detection methods have made some …

Video object detection is a fundamental and important task in computer vision. One mainstay
solution for this task is to aggregate features from different frames to enhance the detection …

A flying bird object detection algorithm based on motion information (FBOD-BMI) is
proposed to solve the problem that the features of the object are not obvious in a single …

Abstract 3D human pose estimation plays an important role in various human-machine
interactive applications, but how to effectively extract and represent the kinematical features …

Video object detection is an important yet challenging task in the computer vision field. One
limitation of off-the-shelf video object detection methods is that they only explore information …

Video object detection has attracted increasing attention in recent years. Although great
success has been achieved by off-the-shelf video object detection methods through …

Streaming perception, a critical task in computer vision, involves the real-time prediction of
object locations within video sequences based on prior frames. While current methods like …

Transferring image-based object detectors to the domain of video remains challenging
under resource constraints. Previous efforts utilised optical flow to allow unchanged features …

One-shot object detection (OSOD) without fine-tuning has recently garnered considerable
attention and research focus. It aims to directly detect novel-class objects in the target image …

Traffic scene perception has a significant impact on driving safety. Inexperienced or
distracted drivers usually do not allocate enough attention to the objects closely related to …