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Models/PointGST

PointGST

Reported on 12 benchmarks across 3 tasks · 1 paper · 12 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision12 results

Shape Representation Of 3D Point CloudsonScanObjectNN
OBJ-BG (OA)· uses extra data· 2024-10-10
99.48
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
Shape Representation Of 3D Point CloudsonScanObjectNN
OBJ-ONLY (OA)· uses extra data· 2024-10-10
97.76
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
Shape Representation Of 3D Point CloudsonScanObjectNN
Overall Accuracy· uses extra data· 2024-10-10
96.18
best: 97.2 (OmniVec2)
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
Shape Representation Of 3D Point CloudsonModelNet40
Overall Accuracy· uses extra data· 2024-10-10
95.3
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
3D Point Cloud ClassificationonScanObjectNN
OBJ-BG (OA)· uses extra data· 2024-10-10
99.48
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
3D Point Cloud ClassificationonScanObjectNN
OBJ-ONLY (OA)· uses extra data· 2024-10-10
97.76
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
3D Point Cloud ClassificationonScanObjectNN
Overall Accuracy· uses extra data· 2024-10-10
96.18
best: 97.2 (OmniVec2)
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· uses extra data· 2024-10-10
95.3
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
3D Point Cloud ReconstructiononScanObjectNN
OBJ-BG (OA)· uses extra data· 2024-10-10
99.48
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
3D Point Cloud ReconstructiononScanObjectNN
OBJ-ONLY (OA)· uses extra data· 2024-10-10
97.76
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
3D Point Cloud ReconstructiononScanObjectNN
Overall Accuracy· uses extra data· 2024-10-10
96.18
best: 97.2 (OmniVec2)
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· uses extra data· 2024-10-10
95.3
SOTA
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning arXiv:2410.08114