Although there is an improvement in breast cancer detection and classification (CAD) tools,
there are still some challenges and limitations that need more investigation. The significant …

Modern object detectors rely heavily on rectangular bounding boxes, such as anchors,
proposals and the final predictions, to represent objects at various recognition stages. The …

近年来, 基于卷积神经网络的目标检测研究发展十分迅速, 各种检测模型的改进方法层出不穷.
本文主要对近几年内目标检测领域中一些具有借鉴价值的研究工作进行了整理归纳. 首先 …

Nondestructive evaluation (NDE) is a set of techniques used for material inspection and
defect detection without causing damage to the inspected component. One of the commonly …

Due to their rapid development and wide application in modern agriculture, robots, mobile
terminals, and intelligent devices have become vital technologies and fundamental research …

Object detection and object recognition are the most important applications of computer
vision. To pursue the task of object detection efficiently, a model with higher detection …

In this paper, we propose an effective knowledge transfer framework to boost the weakly
supervised object detection accuracy with the help of an external fully-annotated source …

In surgery, the robot can automatically adjust the endoscope to ensure the stability of the
surgical image and reduce the burden on the doctor. It is becoming a research hotspot of …

There has been a recent rise in the uses and applications of passive seismic data, such as
tomographic imaging, volcanic monitoring, and hydrocarbon exploration. Consequently, the …

Video content data have a variety of objects that could be associated with each other.
Although content data contains similar objects or themes, their associations can become …