Watershed is a widespread technique for image segmentation. Many researchers apply the
method implemented in open source libraries without a deep understanding of its …

The molecular mechanism underlying brain regeneration in vertebrates remains elusive. We
performed spatial enhanced resolution omics sequencing (Stereo-seq) to capture spatially …

Interpretability has become an important topic of research as more machine learning (ML)
models are deployed and widely used to make important decisions. Most of the current …

Superpixels group perceptually similar pixels to create visually meaningful entities while
heavily reducing the number of primitives for subsequent processing steps. As of these …

There is a growing demand for image processing in a wide range of applications such as
photography, robotics, television, remote sensing, industrial inspection, and medical …

Human-annotated attributes serve as powerful semantic embeddings in zero-shot learning.
However, their annotation process is labor-intensive and needs expert supervision. Current …

Several Superpixel segmentation techniques have recently been developed. Superpixels
combine perceptually similar pixels to form visually significant entities, lowering the amount …

Automated machining feature recognition, a sub-discipline of solid modeling, has been an
active research area for last three decades and is a critical component in digital …

Synthetic aperture radar (SAR) has great potential for timely monitoring of flood information
as it penetrates the clouds during flood events. Moreover, the proliferation of SAR satellites …

Various superpixel approaches have been published recently. These algorithms are
assessed using different evaluation metrics and datasets resulting in discrepancy in …