3D AffordanceNet
Introduced by Deng et al. in 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
3D AffordanceNet is a dataset of 23k shapes for visual affordance. It consists of 56,307 well-defined affordance information annotations for 22,949 shapes covering 18 affordance classes and 23 semantic object categories.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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3D AffordanceNet
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DGCNN
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Papers
| Paper | Code | Results | Date | Stars |
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