Color image watermarking has achieved great success in various applications such as copy
protection, content authentication, tamper detection and recovery, etc. The present paper …

Owing to the various object scales and high similarity with the surrounding organs (eg,
kidney, stomach, and spleen), it is difficult to accurately segment the liver region from the …

Label distribution covers a certain number of labels, representing the degree to which each
label describes the instance. When dealing with label ambiguity, label distribution could …

Traffic sign classification plays a vital role in autonomous vehicles for its powerful capability
in information representation. However, the low-quality data of traffic signs captured by in …

Hyperspectral images of wheat can identify seeds quickly, accurately, and nondestructively.
However, most of the existing hyperspectral classification methods only use spectral …

For underwater environments, it is difficult to acquire accurate contact force vectors between
the end effecter and the object by multidimensional force sensors. Precise force …

For multi-label image classification, existing studies either utilize a poor multi-step training
workflow to explore the (local) relationships between the image target regions and their …

The vision system is important for almost all kinds of autonomous driving systems. However,
visual data interfered by scattering media, such as smoke, haze, water, and other non …

To improve remote sensing image transmission efficiency, we propose a cloud detection
method using a multi-feature embedded learning support vector machine (SVM) to address …

Multi-label classification is a challenging issue in the data science community due to the
ambiguity of label semantics. Existing studies mainly focus on improving label association …