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UID:www.tcs.tifr.res.in/event/1097
DTSTAMP:20230914T125950Z
SUMMARY:Unravelling Dataset Biases
DESCRIPTION:Speaker: Mohit Lamba (Indian Institute of Technology\, Madras\n
 Chennai)\n\nAbstract: \nAs scientists and engineers\, we have long aimed a
 t solving real-time problems such as detecting and localizing objects seen
  by our video recorder or at least something like Pokemon's Animedex. But 
 in recent times\, this has translated to publishing slapdash papers wherei
 n the only gold standard is to beat some metric defined for a selected pro
 blem as seen in the Imagenet and Pascal VOC challenge. But how good the so
 -called incredible performance in such contrived situations generalizes in
  a real-world setting?  In this short talk\, we shall discuss several data
 set biases that occur in collecting a dataset aiming to emulate the real w
 orld and its consequence in narrowing down the research community's focus.
  Though we shall take specific case studies from the Computer Vision commu
 nity\, the hope is that the message will be equally relevant to all the di
 sciples and generate curiosity to question if we have lost our original pu
 rpose in a bid to break the previous benchmarks.\n\nZoom Link: https://zoo
 m.us/j/98132227553?pwd=K2cyQllKVjExdUhlRm0vc0ZHcEt0Zz09\n
URL:https://www.tcs.tifr.res.in/web/events/1097
DTSTART;TZID=Asia/Kolkata:20201106T171500
DTEND;TZID=Asia/Kolkata:20201106T181500
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