Deep Extreme Cut
Deep Extreme Cut (DEXTR): From Extreme Points to Object Segmentation State of the Art in guided and interactive segmentation K.K. Maninis*, S. Caelles*, J. Pont-Tuset, and L. Van Gool Deep Extreme Cut: From Extreme Points to Object Segmentation, Computer Vision and Pattern Recognition (CVPR), 2018. [BibTeX] [PDF] @inproceedings{Man+18, author = {K.-K. Maninis and S. Caelles and J. Pont-Tuset and L
One-Shot Video Object Segmentation
S. Caelles*, K.K. Maninis*, J. Pont-Tuset, L. Leal-Taixé, D. Cremers, and L. Van Gool One-Shot Video Object Segmentation, Computer Vision and Pattern Recognition (CVPR), 2017. [BibTeX] [PDF] @inproceedings{Cae+17, Author = {Sergi Caelles and Kevis-Kokitsi Maninis and Jordi Pont-Tuset and Laura Leal-Taix\'e and Daniel Cremers and Luc {Van Gool}}, Title = {One-Shot Video Object Segmentation}, Bookti
One-Shot Video Object Segmentation
S. Caelles*, K.K. Maninis*, J. Pont-Tuset, L. Leal-Taixé, D. Cremers, and L. Van Gool One-Shot Video Object Segmentation, Computer Vision and Pattern Recognition (CVPR), 2017. [BibTeX] [PDF] @inproceedings{Cae+17, Author = {Sergi Caelles and Kevis-Kokitsi Maninis and Jordi Pont-Tuset and Laura Leal-Taix\'e and Daniel Cremers and Luc {Van Gool}}, Title = {One-Shot Video Object Segmentation}, Bookti
COB – Convolutional Oriented Boundaries
@inproceedings{Man+16a, author = {Kevis-Kokitsi Maninis and Jordi Pont-Tuset and Pablo Arbel\'{a}ez and Luc Van Gool}, title = {Convolutional Oriented Boundaries}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2016} } Please cite these papers if you found the resources of this web useful. Abstract This paper presents Convolutional Oriented Boundaries (COB), which produces mu
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CVL Segmentation
