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3D Object Recognition

Object Recognition › 3D Object Recognition 9 평가 기록 4 datasets

3D object recognition is the task of recognising objects from 3D data.

Note that there are related tasks you can look at, such as 3D Object Detection which have more leaderboards.

<span style="color:grey; opacity: 0.6">(Image credit: Look Further to Recognize Better)</span>

논문

MeshWalker: Deep Mesh Understanding by Random Walks

2006.05353 2020-06-09 이 페이지의 평가 4건

Accuracy: 98.6

FPNN: Field Probing Neural Networks for 3D Data

1605.06240 2016-05-20 이 페이지의 평가 1건

Accuracy: 88.4%

Learning a Hierarchical Latent-Variable Model of 3D Shapes

1705.05994 2017-05-17 이 페이지의 평가 1건

Accuracy: 84.5%

MVT: Multi-view Vision Transformer for 3D Object Recognition

2110.13083 2021-10-25 이 페이지의 평가 1건

Accuracy: 97.5%

R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition

2211.11085 2022-11-20 이 페이지의 평가 1건

Accuracy: 97.7%

Volumetric and Multi-View CNNs for Object Classification on 3D Data

1604.03265 2016-04-12 이 페이지의 평가 1건

Accuracy: 93.8%