IEEE Trans Image Process - Repairing bad co-segmentation using its quality evaluation and segment propagation.

Tópicos

{ imag(2675) segment(2577) method(1081) }
{ method(2212) result(1239) propos(1039) }
{ design(1359) user(1324) use(1319) }
{ model(2341) predict(2261) use(1141) }
{ imag(1947) propos(1133) code(1026) }
{ first(2504) two(1366) second(1323) }
{ imag(2830) propos(1344) filter(1198) }
{ assess(1506) score(1403) qualiti(1306) }
{ method(1557) propos(1049) approach(1037) }
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Resumo

In this paper, we improve co-segmentation performance by repairing bad segments based on their quality evaluation and segment propagation. Starting from co-segmentation results of the existing co-segmentation method, we first perform co-segmentation quality evaluation to score each segment. Good segments can be filter out based on the scores. Then, a propagation method is designed to transfer good segments to the rest bad ones so as to repair the bad segmentation. In our method, the quality evaluation is implemented by the measurements of foreground consistency and segment completeness. Two propagation methods such as global propagation and local region propagation are then defined to achieve the more accurate propagation. We verify the proposed method using four state-of-the-arts co-segmentation methods and two public datasets such as ICoseg dataset and MSRC dataset. The experimental results demonstrate the effectiveness of the proposed quality evaluation method. Furthermore, the proposed method can significantly improve the performance of existing methods with larger intersection-over-union score values.

Resumo Limpo

paper improv cosegment perform repair bad segment base qualiti evalu segment propag start cosegment result exist cosegment method first perform cosegment qualiti evalu score segment good segment can filter base score propag method design transfer good segment rest bad one repair bad segment method qualiti evalu implement measur foreground consist segment complet two propag method global propag local region propag defin achiev accur propag verifi propos method use four stateoftheart cosegment method two public dataset icoseg dataset msrc dataset experiment result demonstr effect propos qualiti evalu method furthermor propos method can signific improv perform exist method larger intersectionoverunion score valu

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