3D Shape Recognition
13 papers with code • 0 benchmarks • 1 datasets
Image: Wei et al
Benchmarks
These leaderboards are used to track progress in 3D Shape Recognition
Libraries
Use these libraries to find 3D Shape Recognition models and implementations
Hypersim
Most implemented papers
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition
While the Transformer architecture has become ubiquitous in the machine learning field, its adaptation to 3D shape recognition is non-trivial.
PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition
In this paper, we explore the possibility of boosting deep 3D point cloud encoders by transferring visual knowledge extracted from deep 2D image encoders under a standard teacher-student distillation workflow.
MVTN: Learning Multi-View Transformations for 3D Understanding
ajhamdi/mvtorch
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Multi-view projection techniques have shown themselves to be highly effective in achieving top-performing results in the recognition of 3D shapes.
