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Monthly Archives: July 2015

ACVT semantic image segmentation technique tops in the PASCAL VOC Challenge

Researchers at ACVT have developed new “Deep Structured Learning” techniques that set up the new state-of-the-art semantic image segmentation record in the PASCAL VOC Challenge, which is organised by Oxford University. Semantic image segmentation is one of the tasks and probably the most challenging one, which is to label each pixel in images. Deep Learning is the […]

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CVPR 2015 Best Workshop Paper Award

In conjunction with the success of the Australian Centre for Robotic Vision’s workshops at CVPR2015 in Boston: Workshop on Semantics for Visual Reconstruction, Localization and Mapping Workshop on Visual Place Recognition in Changing Environments An ACRV team was also successful in attaining the Best Workshop Paper Award for the IEEE – Workshop on Computer Vision […]

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