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AIML semantic image segmentation technique tops the PASCAL VOC Challenge
Researchers at AIML (formerly ACVT) have developed new 鈥淒eep Structured Learning鈥 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.
[Read more about AIML semantic image segmentation technique tops the PASCAL VOC Challenge]
CVPR 2015 Best Workshop Paper Award
In conjunction with the success of the Australian Centre for Robotic Vision鈥檚 workshops at CVPR2015 in Boston:
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