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Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation.

, , , and . ACCV (1), volume 7724 of Lecture Notes in Computer Science, page 730-744. Springer, (2012)

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Image Co-Saliency Detection and Co-Segmentation via Progressive Joint Optimization., , , , and . IEEE Trans. Image Process., 28 (1): 56-71 (2019)Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior., , , , and . NeurIPS, page 6582-6593. (2019)Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data., , and . CVPR, page 360-367. IEEE Computer Society, (2014)Robust image alignment with multiple feature descriptors and matching-guided neighborhoods., , and . CVPR, page 1921-1930. IEEE Computer Society, (2015)Matching Images With Multiple Descriptors: An Unsupervised Approach for Locally Adaptive Descriptor Selection., , , , and . IEEE Trans. Image Process., 24 (12): 5995-6010 (2015)DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection., , and . CVPR, page 8846-8855. Computer Vision Foundation / IEEE, (2019)Weakly Supervised Saliency Detection with A Category-Driven Map Generator., , and . BMVC, BMVA Press, (2017)Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization., , , , and . ECCV (5), volume 11209 of Lecture Notes in Computer Science, page 502-518. Springer, (2018)Co-attention CNNs for Unsupervised Object Co-segmentation., , and . IJCAI, page 748-756. ijcai.org, (2018)Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation., , , and . ACCV (1), volume 7724 of Lecture Notes in Computer Science, page 730-744. Springer, (2012)