{"intvolume":"      6312","volume":6312,"date_updated":"2021-01-12T07:41:46Z","publist_id":"3479","type":"conference","extern":1,"publication_status":"published","abstract":[{"lang":"eng","text":"The problem of cosegmentation consists of segmenting the same object (or objects of the same class) in two or more distinct images. Recently a number of different models have been proposed for this problem. However, no comparison of such models and corresponding optimization techniques has been done so far. We analyze three existing models: the L1 norm model of Rother et al. [1], the L2 norm model of Mukherjee et al. [2] and the &quot;reward&quot; model of Hochbaum and Singh [3]. We also study a new model, which is a straightforward extension of the Boykov-Jolly model for single image segmentation [4]. In terms of optimization, we use a Dual Decomposition (DD) technique in addition to optimization methods in [1,2]. Experiments show a significant improvement of DD over published methods. Our main conclusion, however, is that the new model is the best overall because it: (i) has fewest parameters; (ii) is most robust in practice, and (iii) can be optimized well with an efficient EM-style procedure."}],"doi":"10.1007/978-3-642-15552-9_34","author":[{"full_name":"Vicente, Sara","first_name":"Sara","last_name":"Vicente"},{"first_name":"Vladimir","full_name":"Vladimir Kolmogorov","id":"3D50B0BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kolmogorov"},{"full_name":"Rother, Carsten","first_name":"Carsten","last_name":"Rother"}],"conference":{"name":"ECCV: European Conference on Computer Vision"},"_id":"3201","main_file_link":[{"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.6803df","open_access":"0"}],"alternative_title":["LNCS"],"title":"Cosegmentation revisited: Models and optimization","quality_controlled":0,"citation":{"ieee":"S. Vicente, V. Kolmogorov, and C. Rother, “Cosegmentation revisited: Models and optimization,” presented at the ECCV: European Conference on Computer Vision, 2010, vol. 6312, pp. 465–479.","short":"S. Vicente, V. Kolmogorov, C. Rother, in:, Springer, 2010, pp. 465–479.","ama":"Vicente S, Kolmogorov V, Rother C. Cosegmentation revisited: Models and optimization. In: Vol 6312. Springer; 2010:465-479. doi:<a href=\"https://doi.org/10.1007/978-3-642-15552-9_34\">10.1007/978-3-642-15552-9_34</a>","mla":"Vicente, Sara, et al. <i>Cosegmentation Revisited: Models and Optimization</i>. Vol. 6312, Springer, 2010, pp. 465–79, doi:<a href=\"https://doi.org/10.1007/978-3-642-15552-9_34\">10.1007/978-3-642-15552-9_34</a>.","apa":"Vicente, S., Kolmogorov, V., &#38; Rother, C. (2010). Cosegmentation revisited: Models and optimization (Vol. 6312, pp. 465–479). Presented at the ECCV: European Conference on Computer Vision, Springer. <a href=\"https://doi.org/10.1007/978-3-642-15552-9_34\">https://doi.org/10.1007/978-3-642-15552-9_34</a>","ista":"Vicente S, Kolmogorov V, Rother C. 2010. Cosegmentation revisited: Models and optimization. ECCV: European Conference on Computer Vision, LNCS, vol. 6312, 465–479.","chicago":"Vicente, Sara, Vladimir Kolmogorov, and Carsten Rother. “Cosegmentation Revisited: Models and Optimization,” 6312:465–79. Springer, 2010. <a href=\"https://doi.org/10.1007/978-3-642-15552-9_34\">https://doi.org/10.1007/978-3-642-15552-9_34</a>."},"date_created":"2018-12-11T12:01:59Z","month":"08","date_published":"2010-08-30T00:00:00Z","page":"465 - 479","status":"public","year":"2010","publisher":"Springer","day":"30"}