Diffusion-based salient region detection has recently received intense research attention. In
this paper, we present some effective improvements concerning two important aspects of …

Salient region detection is a challenging problem and an important topic in computer vision.
It has a wide range of applications, such as object recognition and segmentation. Many …

In this paper, we show that the seminal, biologically-inspired saliency model by Itti et al. is
still competitive with current state-of-the-art methods for salient object segmentation if some …

Abstract Salient Object Detection (SOD) in natural images is an active research area with
burgeoning applications across diverse disciplines such as object recognition, image …

This work proposes a nonparametric prior induced deep sum-logarithmic-multinomial
mixture (DSLMM) model to detect pilots' cognitive states through the developed brain power …

The background information is a significant prior for salient object detection, especially when
images contain cluttered background and diverse object parts. In this paper, we propose a …

The capability of humans in distinguishing salient objects from background is at par
excellence. The researchers are yet to develop a model that matches the detection accuracy …

An accurate cultural insect detection and recognition relies mainly on a proper automatic
segmentation. This paper deals with butterfly segmentation in ecological images …