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DTSTART:20190310T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20191206T110000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20191206T110000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/phd-seminar-a
 ddressing-labels-shortage-segmentation-3
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 3102 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Seminar: Addressing Labels Shortage: Segmentation with 3%\nSupe
 rvision
CLASS:PUBLIC
DESCRIPTION:DMITRII MARIN\, PHD CANDIDATE\nDavid R. Cheriton School of Comp
 uter Science\n\nDeep learning models generalize limitedly to new datasets 
 and require\nnotoriously large amounts of labeled data for training. The l
 atter\nproblem is exacerbated by the need of ensuring that trained models 
 are\naccurate in large variety of image scenes. The diversity of images\nc
 omes from combinatorial nature of real world scenes\, occlusions\,\nvariat
 ions in lightning\, acquisition methods\, etc. Many rare images\nmay have 
 little chance to be included in a dataset\, but are still very\nimportant\
 , as they often represent situations where a recognition\nmistake has a hi
 gh cost.
DTSTAMP:20260313T233245Z
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