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DTSTART:20190310T070000
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DTSTART:20181104T060000
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UID:69b3c8845aba8
DTSTART;TZID=America/Toronto:20190723T113000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-towards-pixel-level-ood
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2310 Waterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation: Towards Pixel-Level OOD Detection f
 or\nSemantic Segmentation
CLASS:PUBLIC
DESCRIPTION:MATTHEW ANGUS\, MASTER’S CANDIDATE\n_David R. Cheriton School
  of Computer Science_\n\nThere exists wide research surrounding the detect
 ion of out of\ndistribution sample for image classification. Safety critic
 al\napplications\, such as autonomous driving\, would benefit from the\nab
 ility to localise the unusual objects causing an image to be out of\ndistr
 ibution. 
DTSTAMP:20260313T081916Z
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