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 …

Foreground map evaluation is crucial for gauging the progress of object segmentation
algorithms, in particular in the filed of salient object detection where the purpose is to …

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 …

Foreground map evaluation is crucial for gauging the progress of object segmentation
algorithms, in particular in the field of salient object detection where the purpose is to …

Visual grounding (VG) aims to locate a specific target in an image based on a given
language query. The discriminative information from context is important for distinguishing …

The understanding of web images has been a hot research topic in both artificial intelligence
and multimedia content analysis domains. The web images are composed of various …

Weakly supervised Referring Expression Grounding (REG) aims to ground a particular
target in an image described by a language expression while lacking the correspondence …

Weakly supervised referring expression grounding aims at localizing the referential object in
an image according to the linguistic query, where the map** between the referential …

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 …