Detection and localization of regions of images that attract immediate human visual attention
is currently an intensive area of research in computer vision. The capability of automatic …

Salient object detection in optical remote sensing images (RSI-SOD) aims to segment
objects that attract human attention in optical RSIs. With the tremendous success of full …

Data-driven saliency has recently gained a lot of attention thanks to the use of convolutional
neural networks for predicting gaze fixations. In this paper, we go beyond standard …

In this article, we deal with the problem of object detection on remote sensing images.
Previous researchers have developed numerous deep convolutional neural network (CNN) …

Salient object detection (SOD) for optical remote sensing images (RSIs) aims at locating and
extracting visually distinctive objects/regions from the optical RSIs. Since some saliency …

Salient object detection (SOD) in optical remote sensing images (RSIs) is a valuable and
challenging task. Although many SOD methods for RSIs have been proposed, there are still …

We present a novel spatiotemporal saliency detection method to estimate salient regions in
videos based on the gradient flow field and energy optimization. The proposed gradient flow …

Arising from the various object types and scales, diverse imaging orientations, and cluttered
backgrounds in optical remote sensing image (RSI), it is difficult to directly extend the …

Co-saliency is used to discover the common saliency on the multiple images, which is a
relatively underexplored area. In this paper, we introduce a new cluster-based algorithm for …

In region-of-interest (ROI)-based video coding, ROI parts of the frame are encoded with
higher quality than non-ROI parts. At low bit rates, such encoding may produce attention …