Title | ||
---|---|---|
Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement. |
Abstract | ||
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•Gestalt laws guided saliency detection via characterizing HVS and forming objects.•Smooth at superpixel and object levels by fusing bottom-up and top-down mechanisms;•Background suppression with background correlation term & spatial compactness term.•Two-stage refinement to show best among 10 state-of-the-art methods on 5 datasets. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.patcog.2018.02.004 | Pattern Recognition |
Keywords | Field | DocType |
Background connectivity,Gestalt laws guided optimization,Image saliency detection,Feature fusion,Human vision perception | Pattern recognition,Visual cortex,Salience (neuroscience),Precision and recall,Figure–ground,Gestalt psychology,Artificial intelligence,Cognition,Fuse (electrical),Perception,Mathematics | Journal |
Volume | Issue | ISSN |
79 | 1 | 0031-3203 |
Citations | PageRank | References |
32 | 1.10 | 38 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yijun Yan | 1 | 34 | 2.85 |
Jinchang Ren | 2 | 1144 | 88.54 |
Genyun Sun | 3 | 149 | 17.27 |
Huimin Zhao | 4 | 206 | 23.43 |
Junwei Han | 5 | 3501 | 194.57 |
Xuelong Li | 6 | 15049 | 617.31 |
Stephen Marshall | 7 | 35 | 3.22 |
Jin Zhan | 8 | 39 | 3.57 |