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title
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2026-02-26 21:47:32
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ReferIt3D ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes ECCV 2020, Oral Panos Achlioptas Stanford University Ahmed Abdelreheem KAUST Fei Xia Stanford University Mohamed Elhoseiny Stanford University, KAUST Leonidas Guibas Stanford University [Paper] [Video] [Code] [Dataset] [Benchmarks] Abstract In this work we introduce the problem of using referential language to identify common objects in real-world 3D scenes. We focus on a challenging setup where the referred object belongs to a fine-grained object class and the underlying scene contains multiple object instances of that class. Due to the scarcity and ...
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