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+strategies+are+crucial+for+identifying+label+candidates+from+a+nearly+infinite+amount+of+unlabeled+data.+In+this+context%252C+robust+out-of-distribution+(OOD)+detection+mechanisms+are+essential+for+handling+data+outside+the+target+distribution+of+the+application.+However%252C+current+works+investigate+both+problems+separately.+In+this+work%252C+we+introduce+SISOM+as+the+first+unified+solution+for+both+AL+and+OOD+detection.+By+leveraging+feature+space+distance+metrics+SISOM+combines+the+strengths+of+the+currently+independent+tasks+to+solve+both+effectively.+We+conduct+extensive+experiments+showing+the+problems+arising+when+migrating+between+both+tasks.+In+these+evaluations+SISOM+underlined+its+effectiveness+by+achieving+first+place+in+two+of+the+widely+used+OpenOOD+benchmarks+and+second+place+in+the+remaining+one.+In+AL%252C+SISOM+outperforms+others+and+delivers+top-1+performance+in+three+benchmarks&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.54a64f01db26eb7428c8b6cb9d13277c%3frik%3dEyyacSBI9oRgBQ%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Unified+Detection+Approach&FORM=IRPRST&ck=A52E5833DF5CD76B972B31B47742C4C0&selectedIndex=14&itb=0)
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