Source: ACM International Conference Proceeding Series ; https://www.scopus.com/inward/record.url?eid=2-s2.0-84873382374&partnerID=40&md5=7dbc4747b43fda691f9992354d57536e

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Academic Journal

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation

Authors : Saleh, Fatemehsadat; Ali Akbarian, Mohammad Sadegh; Salzmann, Mathieu

Subjects: Semantic segmentation; weak annotations; convolutional neural networks

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence

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Conference

Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation

Authors : Saleh, Fatemehsadat; Sadegh Ali Akbarian, Mohammad; Salzmann, Mathieu ...

Subjects: Venice; ItalyVenice, Italy

Source: Proceedings of the IEEE International Conference on Computer Vision

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Conference

Sparse dictionaries for semantic segmentation

Authors : Tao, Lingling; Porikli, Fatih; Vidal, Rene

Subjects: Zurich Switzerland

Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Conference

Single Image Depth Estimation from Predicted Semantic Labels

Authors : Liu, Beyang; Gould, Stephen; Koller, Daphne

Subjects: Keywords: 3D reconstruction; Geometry constraints; Monocular imageSan Francisco USA

Source: Proceedings of The 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010)

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PatchMatchGraph: Building a graph of dense patch correspondences for label transfer

Authors : Gould, Stephen; Zhang, Yuhang

Subjects: Keywords: Data sets; Graph construction; Labeled imagesFlorence Italy

Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Conference

On learning higher-order consistency potentials for multi-class pixel labeling

Authors : Park, Kyoungup; Gould, Stephen

Subjects: Keywords: Consistency constraints; Consistency model; Higher order correlationFlorence Italy

Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Academic Journal

Image Segmentation Using Deep Learning: A Survey

Authors : Minaee, Shervin; Boykov, Yuri; Porikli, Fatih

Subjects: Image segmentation; deep learning; convolutional neural networks

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence

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نتائج البحث

فلترة النتائج

2D-3D semantic segmentation using cardinality as higher-order loss

3D Guided Weakly Supervised Semantic Segmentation

Towards unsupervised semantic segmentation of street scenes from motion cues

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation

Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation

Sparse dictionaries for semantic segmentation

Single Image Depth Estimation from Predicted Semantic Labels

PatchMatchGraph: Building a graph of dense patch correspondences for label transfer

On learning higher-order consistency potentials for multi-class pixel labeling

Image Segmentation Using Deep Learning: A Survey

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