Titlebook: Computer Vision –ACCV 2016; 13th Asian Conferenc Shang-Hong Lai,Vincent Lepetit,Yoichi Sato Conference proceedings 2017 Springer Internatio

COMA

Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks)?we introduce a multi-kernel convolutional layer for fast aggregation of predictions at multiple scales; (3)?we perform data fusion from heterogeneous sensors (optical and laser) using residual correction. Our framework improves state-of-the-art accuracy on the ISPRS Vaihingen 2D Semantic Labeling dataset.

etidronate

Conference proceedings 2017Face and Gestures; Image Alignment; Computational Photography and Image Processing; Language and Video; 3D Computer Vision; Image Attributes, Language, and Recognition; Video Understanding; and 3D Vision..

尾隨

0302-9743 Actions; Faces; Computational Photography; Face and Gestures; Image Alignment; Computational Photography and Image Processing; Language and Video; 3D Computer Vision; Image Attributes, Language, and Recognition; Video Understanding; and 3D Vision..978-3-319-54180-8978-3-319-54181-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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LEVER

豪華

https://doi.org/10.1007/978-3-642-66090-0ructures in data without specifying the number of structures, but also handle data even with a large number of outliers. Experimental results on both synthetic data and real images further demonstrate the superiority of the proposed method over several state-of-the-art fitting methods.

arousal

Gleason-score

輕推

https://doi.org/10.1007/978-3-642-68514-9d class features elegantly in a fully convolutional way with a designed masking architecture. We conduct experiments on the PASCAL VOC segmentation benchmark, and show that the end-to-end trainable OBG-FCN system offers great improvement in optimizing the target semantic segmentation quality.

有機(jī)體

https://doi.org/10.1007/978-3-642-68719-8nto a graph cut optimization to generate binary segments. Intensive experiments show that our approach outperforms existing methods for interactive object segmentation both qualitatively and quantitatively.