Salient object detection: A benchmark
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 …
salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over seven …
State-of-the-art in visual attention modeling
Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …
very active research area over the past 25 years. Many different models of attention are now …
Large-scale optimization of hierarchical features for saliency prediction in natural images
Saliency prediction typically relies on hand-crafted (multiscale) features that are combined in
different ways to form a" master" saliency map, which encodes local image conspicuity …
different ways to form a" master" saliency map, which encodes local image conspicuity …
Exploiting local and global patch rarities for saliency detection
We introduce a saliency model based on two key ideas. The first one is considering local
and global image patch rarities as two complementary processes. The second one is based …
and global image patch rarities as two complementary processes. The second one is based …
Saliency and human fixations: State-of-the-art and study of comparison metrics
Visual saliency has been an increasingly active research area in the last ten years with
dozens of saliency models recently published. Nowadays, one of the big challenges in the …
dozens of saliency models recently published. Nowadays, one of the big challenges in the …
The scene perception & event comprehension theory (SPECT) applied to visual narratives
Understanding how people comprehend visual narratives (including picture stories, comics,
and film) requires the combination of traditionally separate theories that span the initial …
and film) requires the combination of traditionally separate theories that span the initial …
Boosting bottom-up and top-down visual features for saliency estimation
A Borji - 2012 ieee conference on computer vision and pattern …, 2012 - ieeexplore.ieee.org
Despite significant recent progress, the best available visual saliency models still lag behind
human performance in predicting eye fixations in free-viewing of natural scenes. Majority of …
human performance in predicting eye fixations in free-viewing of natural scenes. Majority of …
Analysis of scores, datasets, and models in visual saliency prediction
Significant recent progress has been made in developing high-quality saliency models.
However, less effort has been undertaken on fair assessment of these models, over large …
However, less effort has been undertaken on fair assessment of these models, over large …
Rare2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis
For the last decades, computer-based visual attention models aiming at automatically
predicting human gaze on images or videos have exponentially increased. Even if several …
predicting human gaze on images or videos have exponentially increased. Even if several …
Computational versus psychophysical bottom-up image saliency: A comparative evaluation study
A Toet - IEEE transactions on pattern analysis and machine …, 2011 - ieeexplore.ieee.org
The predictions of 13 computational bottom-up saliency models and a newly introduced
Multiscale Contrast Conspicuity (MCC) metric are compared with human visual conspicuity …
Multiscale Contrast Conspicuity (MCC) metric are compared with human visual conspicuity …