Name
Title | ||
|---|---|---|
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. |
Abstract | ||
|---|---|---|
We propose a unified approach for bottom-up hierarchical image segmentation and object proposal generation for recognition, called Multiscale Combinatorial Grouping (MCG). For this purpose, we first develop a fast normalized cuts algorithm. We then propose a high-performance hierarchical segmenter that makes effective use of multiscale information. Finally, we propose a grouping strategy that combines our multiscale regions into highly-accurate object proposals by exploring efficiently their combinatorial space. We also present Single-scale Combinatorial Grouping (SCG), a faster version of MCG that produces competitive proposals in under five seconds per image. We conduct an extensive and comprehensive empirical validation on the BSDS500, SegVOC12, SBD, and COCO datasets, showing that MCG produces state-of-the-art contours, hierarchical regions, and object proposals. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TPAMI.2016.2537320 | IEEE Trans. Pattern Anal. Mach. Intell. |
Keywords | Field | DocType |
Image segmentation,Partitioning algorithms,Image color analysis,Object tracking | Computer vision,Data mining,Normalization (statistics),Scale-space segmentation,Pattern recognition,Computer science,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Merge (version control) | Journal |
Volume | Issue | ISSN |
abs/1503.00848 | 1 | 0162-8828 |
Citations | PageRank | References |
43 | 1.09 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jordi Pont-Tuset | 1 | 656 | 32.22 |
| Pablo Arbelaez | 2 | 3626 | 173.00 |
| Jonathan T. Barron | 3 | 881 | 39.55 |
| Ferran Marqués | 4 | 43 | 1.09 |
| Jitendra Malik | 5 | 39445 | 3782.10 |