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Part-Aware Embedding for Fine-Grained 3D Shape Retrieval
SessionPosters
DescriptionWe propose a novel part-aware 3D shape retrieval framework that improves fine-grained search accuracy by embedding both whole objects and their segmented parts into a shared metric space.
Contributors
Suwoong Lee
Electronics and Telecommunications Research Institute (ETRI)
Korea Advanced Institute of Science and Technology (KAIST)
Da-un Jung
Electronics and Telecommunications Research Institute (ETRI)
Juwon Lee
Electronics and Telecommunications Research Institute (ETRI)
Seungjae Lee
Electronics and Telecommunications Research Institute (ETRI)
Junmo Kim
Korea Advanced Institute of Science and Technology (KAIST)
Event Type
Poster
TimeMonday, 15 December 20259:00am - 6:00pm HKT
LocationHall 3F/G Concourse, Level 3
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