Category-independent Object Proposals With Diverse Ranking Poker 2020
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Category-Independent Object Proposals with Diverse Ranking Ian Endres, Student Member, IEEE, and Derek Hoiem, Member, IEEE Abstract—We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Category-Independent Object Proposals with Diverse Ranking Abstract: We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects.

We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Our key objectives are completeness and diversity: Every object should have at least one good proposed region, and a diverse set should be top-ranked. Abstract—We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Our key objectives are completeness and diversity: every object should have at least one good proposed region, and a diverse set should be top-ranked. We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Our key objectives are completeness and diversity: every object should have at least one good proposed region, and a diverse set should be top-ranked. 1 Category-Independent Object Proposals with Diverse Ranking. By Ian Endres, Student Member and Derek Hoiem. Abstract. Abstract—We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Our key objectives are completeness and.

in addition to low-level cues to generate diverse category independent object re-gion proposals, and 2 introduce a trained ranking procedure that produces a small diverse set of proposals that aim to cover all objects in an image. We thor-oughly evaluate each stage of the process, and demonstrate that it.

N2 - We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Our key objectives are completeness and diversity: every object should have at least one good proposed region, and a diverse set should be top-ranked.
Mar 02, 2017 · Ian Endres and Derek Hoiem, Category-Independent Object Proposals With Diverse Ranking, TPAMI, 2014. Selective Search [Project] Koen E. A. van de Sande, Jasper R. R. Uijlings, Theo Gevers, and Arnold W. M. Smeulders, Segmentation As Selective Search for Object. object proposals, when integrated into simultane-ous segmentation and detection, achieves state of the art results. II. Related work The goal of object proposal algorithms is to generate a small number of high-quality category-independent pro-posals such that each object in an image is well captured by at least one proposal [1], [10]. Request PDF Category Independent Object Proposals We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good.

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