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AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
21 September 2017
Thanh-Toan Do
A. Nguyen
Ian Reid
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Papers citing
"AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection"
50 / 169 papers shown
Title
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92
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Liam Paull
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93
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Informative Text-Image Alignment for Visual Affordance Learning with Foundation Models
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Xing Fang
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Zhiyuan Wei
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96
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21 Sep 2025
Weakly-Supervised Learning of Dense Functional Correspondences
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100
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Object Affordance Recognition and Grounding via Multi-scale Cross-modal Representation Learning
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235
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232
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Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors
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313
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Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes
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Korbinian Franz Rudolf
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178
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198
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R. Xiong
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186
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Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces
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Alexandros Delitzas
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368
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380
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