Object proposal generation is an important and fundamental task in computer vision. In this
paper, we propose ProposalCLIP, a method towards unsupervised open-category object …

Feature pyramid networks are widely applied in remote sensing images for object detection
to deal with the challenge of large scale variation in objects. However, the feature pyramid …

The objective of this study is to supply an overview of research work based on video-based
networks and tiny object identification. The identification of tiny items and video objects, as …

Roadside light detection and ranging (LiDAR) is commonly used to record the traffic data of
the whole intersection scene or road segment in intelligent transportation systems (ITSs) …

Object detection under one-level feature is a difficult task, which requires that different scale
object representations can be extracted on one feature map, as well as the balance between …

Most of state-of-the-art object detectors depend on multiple anchors/reference boxes in
representation learning. However, such anchor-based representation does not completely …

Nowadays to detect and classify the objects from the sequence of image frames various
machine learning models are used. The performance of the object recognition model is …

随着海参养殖业快速发展, 利用水下机器人代替人工作业的海参智能捕捞已成为发展趋势.
浅海环境复杂, 海参体色与环境区分性差, 海参呈现半遮蔽状态等原因, 导致目标识别准确率低下 …

Human object interaction (HOI) detection aims to localize and classify triplets of human,
object and relationship from a given image. Different from previous methods that only extract …

Intelligent fishing of sea cucumbers has been an ever-increasing trend using underwater
robots in recent aquaculture, instead of the conventional manual operations. However, there …