In this paper, we propose a novel saliency method that takes advantage of object-level
proposals and region-based convolutional neural network (R-CNN) features. We follow the …

Detecting elliptical objects from an image is a central task in robot navigation and industrial
diagnosis, where the detection time is always a critical issue. Existing methods are hardly …

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

To overcome the challenging problems in saliency detection, we propose a novel semi-
supervised classifier which makes good use of a linear feedback control system (LFCS) …

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 …

Over the years, many ellipse detection algorithms have been studied broadly, while the
critical problem of accurately and effectively detecting ellipses in the real-world using robots …

Visual attention is an important mechanism in the human visual system (HVS) and there
have been numerous saliency detection algorithms designed for 2D images/video recently …

With the advancement in the field of image processing, images are being processed using
various image processing algorithms. Nowadays, many efficient content-aware image …

Top-down saliency detection aims to highlight the regions of a specific object category, and
typically relies on pixel-wise annotated training data. In this paper, we address the high cost …