--- _id: '1369' abstract: - lang: eng text: 'We introduce a new loss function for the weakly-supervised training of semantic image segmentation models based on three guiding principles: to seed with weak localization cues, to expand objects based on the information about which classes can occur in an image, and to constrain the segmentations to coincide with object boundaries. We show experimentally that training a deep convolutional neural network using the proposed loss function leads to substantially better segmentations than previous state-of-the-art methods on the challenging PASCAL VOC 2012 dataset. We furthermore give insight into the working mechanism of our method by a detailed experimental study that illustrates how the segmentation quality is affected by each term of the proposed loss function as well as their combinations.' alternative_title: - LNCS author: - first_name: Alexander full_name: Kolesnikov, Alexander id: 2D157DB6-F248-11E8-B48F-1D18A9856A87 last_name: Kolesnikov - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Kolesnikov A, Lampert C. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. In: Vol 9908. Springer; 2016:695-711. doi:10.1007/978-3-319-46493-0_42' apa: 'Kolesnikov, A., & Lampert, C. (2016). Seed, expand and constrain: Three principles for weakly-supervised image segmentation (Vol. 9908, pp. 695–711). Presented at the ECCV: European Conference on Computer Vision, Amsterdam, The Netherlands: Springer. https://doi.org/10.1007/978-3-319-46493-0_42' chicago: 'Kolesnikov, Alexander, and Christoph Lampert. “Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation,” 9908:695–711. Springer, 2016. https://doi.org/10.1007/978-3-319-46493-0_42.' ieee: 'A. Kolesnikov and C. Lampert, “Seed, expand and constrain: Three principles for weakly-supervised image segmentation,” presented at the ECCV: European Conference on Computer Vision, Amsterdam, The Netherlands, 2016, vol. 9908, pp. 695–711.' ista: 'Kolesnikov A, Lampert C. 2016. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 9908, 695–711.' mla: 'Kolesnikov, Alexander, and Christoph Lampert. Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. Vol. 9908, Springer, 2016, pp. 695–711, doi:10.1007/978-3-319-46493-0_42.' short: A. Kolesnikov, C. Lampert, in:, Springer, 2016, pp. 695–711. conference: end_date: 2016-10-14 location: Amsterdam, The Netherlands name: 'ECCV: European Conference on Computer Vision' start_date: 2016-10-11 date_created: 2018-12-11T11:51:37Z date_published: 2016-09-15T00:00:00Z date_updated: 2021-01-12T06:50:12Z day: '15' department: - _id: ChLa doi: 10.1007/978-3-319-46493-0_42 ec_funded: 1 intvolume: ' 9908' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1603.06098 month: '09' oa: 1 oa_version: Preprint page: 695 - 711 project: - _id: 2532554C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '308036' name: Lifelong Learning of Visual Scene Understanding publication_status: published publisher: Springer publist_id: '5842' quality_controlled: '1' scopus_import: 1 status: public title: 'Seed, expand and constrain: Three principles for weakly-supervised image segmentation' type: conference user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 9908 year: '2016' ...