Name
Title | ||
|---|---|---|
Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency |
Abstract | ||
|---|---|---|
In this paper, we propose a novel approach for bird part localization, targeting fine-grained categories with wide variations in appearance due to different poses (including aspect and orientation) and subcategories. As it is challenging to represent such variations across a large set of diverse samples with tractable parametric models, we turn to individual exemplars. Specifically, we extend the exemplar-based models in [4] by enforcing pose and subcategory consistency at the parts. During training, we build pose-specific detectors scoring part poses across subcategories, and subcategory-specific detectors scoring part appearance across poses. At the testing stage, likely exemplars are matched to the image, suggesting part locations whose pose and subcategory consistency are well-supported by the image cues. From these hypotheses, part configuration can be predicted with very high accuracy. Experimental results demonstrate significant performance gains from our method on an extensive dataset: CUB-200-2011 [30], for both localization and classification tasks. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCV.2013.313 | ICCV |
Keywords | Field | DocType |
enforced pose,exemplar-based models,bird part localization,classification task,image cue,part configuration,subcategory consistency,diverse sample,part appearance,exemplar-based model,part location,zoology | Subcategory,Computer vision,Object detection,Parametric model,Pattern recognition,Image matching,Computer science,Artificial intelligence,Machine learning | Conference |
Volume | Issue | ISSN |
2013 | 1 | 1550-5499 |
Citations | PageRank | References |
20 | 0.98 | 30 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiongxin Liu | 1 | 158 | 6.34 |
| Peter N. Belhumeur | 2 | 12242 | 1001.27 |