Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

Salient object detection models mimic the behavior of human beings and capture the most
salient region/object from the images or scenes, this field contains many important …

Training a generic objectness measure to produce a small set of candidate object windows,
has been shown to speed up the classical sliding window object detection paradigm. We …

We extensively compare, qualitatively and quantitatively, 41 state-of-the-art models (29
salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over seven …

Automatic estimation of salient object regions across images, without any prior assumption
or knowledge of the contents of the corresponding scenes, enhances many computer vision …

Efficiently identifying salient objects in large image collections is essential for many
applications including image retrieval, surveillance, image annotation, and object …

QR code is a popular form of barcode pattern that is ubiquitously used to tag information to
products or for linking advertisements. While, on one hand, it is essential to keep the …

Since its inception in 2015, Style Transfer has focused on texturing a content image using an
art exemplar. Recently, the geometric changes that artists make have been acknowledged …

Encounters between humans and wildlife often lead to injuries, especially in remote
wilderness regions, and highways. Therefore, animal detection is a vital safety and wildlife …

Recent progress in salient object detection (SOD) mainly depends on the Atrous Spatial
Pyramid Pooling (ASPP) module for multi-scale learning. Intuitively, different input images …