labeling. We present a ''shape-aware'' model which utilizes contour information for efficient and accurate labeling of features in the image. Our approach ...
This leads to modeling errors - these features are learned to be part of the object. In the case of the “shape aware” model, the shape of the objects help.
A “Shape Aware ” Model for semi-supervised Learning of Objects and its Context ... model that simultaneously learns object model and its contextual ... shape aware” ...
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Dec 1, 2008 · A “Shape Aware” Model for semi-supervised Learning of Objects and its Context. ... Model for semi-supervised Learning of Objects and its Context.
Dec 8, 2008 · We present a "shape-aware" model which utilizes contour information for efficient and accurate labeling of features in the image. Our approach ...
Abhinav Gupta, Jianbo Shi, Larry S. Davis: A "Shape Aware" Model for semi-supervised Learning of Objects and its Context. NIPS 2008: 577-584.
Abhinav Gupta, Jianbo Shi, and Larry Davis, "A "Shape Aware" Model for semi-supervised Learning for Objects and its Context," Advances in Neural Information ...
Shape-aware semi-supervised image segmentation - Confluence ...
collab.dvb.bayern › display › TUMdlma
Introduction. Shape-aware semi-supervised image segmentation describes the process of splitting a digital image into multiple regions or objects.
Missing: Context. | Show results with:Context.
Jul 21, 2020 · View a PDF of the paper titled Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images, by Shuailin Li and 2 other authors.
... training, we introduce an adversarial loss between the predicted SDMs of labeled and unlabeled data so that our network is able to capture shape-aware ...