To reduce the loss induced by forest fires, it is very important to detect the forest fire smoke in
real time so that early and timely warning can be issued. Machine vision and image …

The indoor scene object detection technology is of important research significance, which is
one of the popular research topics in the field of scene understanding for indoor robots. In …

Aiming at the problems of low detection accuracy and slow speed caused by the complex
background of tea sprouts and the small target size, this paper proposes a tea bud detection …

In an era of information, people's demand for electronic products is greatly increased. As an
important part of electronic components, Printed Circuit Board (PCB) has a huge annual …

Transmission line fault detection using drones provides real-time assessment of the
operational status of transmission equipment, and therefore it has immense importance in …

Siamese tracking has witnessed tremendous progress in tracking paradigm. However, its
default box estimation pipeline still faces a crucial inconsistency issue, namely, the …

This paper proposes CAMOT, a simple camera angle estimator for multi-object tracking to
tackle two problems: 1) occlusion and 2) inaccurate distance estimation in the depth …

Visual-semantic embeddings are central to many multimedia applications such as cross-
modal retrieval between visual data and natural language descriptions. Conventionally …

Siamese-network-based trackers convert the general object tracking as a similarity matching
task between a template and a search region. Using convolutional feature cross correlation …

Current point-based trackers are usually implemented by the following two branches: a
classification branch for predicting the target candidate locations and a regression branch …