AG 1, AG 2, AG 3, AG 4, AG 5, RG1, SWS, MMCI   Info

MPI Audience

English

45 Minutes

Saarbrücken

In this talk I’ll present a a new approach for highly accurate bottom-up object segmentation. Given an image, the approach rapidly generates a set of regions that delineate candidate objects in the image. The key idea is to train an ensemble of figure-ground segmentation models directly from a large dataset of annotated object segmentations. Extensive experiments demonstrate that the presented approach outperforms prior object proposal algorithms by a significant margin, while having the lowest running time. The method generalizes well across datasets, indicating that the presented approach is capable of learning a generally applicable model of bottom-up segmentation.

Connie Balzert

0681 9325 2000

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