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| Content Provider | ACM Digital Library |
|---|---|
| Author | Chia, Liang-Tien Cheng, Xiangang |
| Abstract | This paper presents a method of max-pooling spatially-coherent pyramid matching (MpScPM). Higher-layer representations are generated from lower-layer subregions, by a biologically-inspired max pooling strategy. Second, instead of reshaping the pyramid representation into a vector (used in generic SPM), the layer and location information of each subregion are kept and weak geometrical correspondences between matched subregions are explored to enhance our pyramid matching method. To enhance the possibility of finding the best matches at different scales and locations, cross-layer region similarities are computed, while the correspondences (either spatial neighbors or adjacent layers) are also incorporated. We evaluate our proposed MpScPM method on several existing benchmark datasets and it achieves excellent performances. |
| Starting Page | 1445 |
| Ending Page | 1448 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450306164 |
| DOI | 10.1145/2072298.2072036 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-11-28 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Max pooling Pyramid matching Spatial coherent |
| Content Type | Text |
| Resource Type | Article |
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