Few-shot Object Classification on ScanObjectNN
89.3AccuracyGPSFormer
Evaluation Results
| Method | Links | |
|---|---|---|
| GPSFormertrained from scratch=false, protocol=5-way, shots=10-shot2024.07 | 89.3 | |
| GPSFormertrained from scratch=false, protocol=5-way, shots=20-shot2024.07 | 87 | |
| GPSFormertrained from scratch=false, protocol=10-way, shots=20-shot2024.07 | 87 | |
| GPSFormertrained from scratch=false, protocol=10-way, shots=10-shot2024.07 | 86.6 | |
| DGCNN + CrossPointBackbone=DGCNN, Pre-training Strategy=CrossPoint, Way=5, Shot=202022.03 | 79 | |
| DGCNN + OcCoBackbone=DGCNN, Pre-training Strategy=OcCo, Way=5, Shot=202022.03 | 77.2 | |
| DGCNN + CrossPointBackbone=DGCNN, Pre-training Strategy=CrossPoint, Way=5, Shot=102022.03 | 74.8 | |
| DGCNN + CrossPointBackbone=DGCNN, Pre-training Strategy=CrossPoint, Way=10, Shot=202022.03 | 73.9 | |
| GPSFormertrained from scratch=true, protocol=5-way, shots=20-shot2024.07 | 73.6 | |
| PointNet + CrossPointBackbone=PointNet, Pre-training Strategy=CrossPoint, Way=5, Shot=202022.03 | 73.3 | |
| DGCNN + OcCoBackbone=DGCNN, Pre-training Strategy=OcCo, Way=5, Shot=102022.03 | 72.4 | |
| PointNeXttrained from scratch=false, protocol=5-way, shots=10-shot2024.07 | 72.4 | |
| PointNet + OcCoBackbone=PointNet, Pre-training Strategy=OcCo, Way=5, Shot=202022.03 | 72.2 | |
| DGCNN + JigsawBackbone=DGCNN, Pre-training Strategy=Jigsaw, Way=5, Shot=202022.03 | 72.2 | |
| PointNeXttrained from scratch=false, protocol=5-way, shots=20-shot2024.07 | 72.2 | |
| GPSFormertrained from scratch=true, protocol=5-way, shots=10-shot2024.07 | 71.7 | |
| DGCNN + cTreeBackbone=DGCNN, Pre-training Strategy=cTree, Way=5, Shot=202022.03 | 71.6 | |
| PointNet + OcCoBackbone=PointNet, Pre-training Strategy=OcCo, Way=5, Shot=102022.03 | 70.4 | |
| PointNeXttrained from scratch=false, protocol=10-way, shots=20-shot2024.07 | 69.5 | |
| PointNeXttrained from scratch=false, protocol=10-way, shots=10-shot2024.07 | 68.9 | |
| DGCNN + cTreeBackbone=DGCNN, Pre-training Strategy=cTree, Way=5, Shot=102022.03 | 68.4 | |
| PointNet + CrossPointBackbone=PointNet, Pre-training Strategy=CrossPoint, Way=5, Shot=102022.03 | 68.2 | |
| DGCNN + RandBackbone=DGCNN, Pre-training Strategy=Random, Way=5, Shot=202022.03 | 67.8 | |
| PointNet + JigsawBackbone=PointNet, Pre-training Strategy=Jigsaw, Way=5, Shot=202022.03 | 67.6 | |
| DGCNN + JigsawBackbone=DGCNN, Pre-training Strategy=Jigsaw, Way=5, Shot=102022.03 | 65.2 | |
| PointNet + CrossPointBackbone=PointNet, Pre-training Strategy=CrossPoint, Way=10, Shot=202022.03 | 64.6 | |
| DGCNN + CrossPointBackbone=DGCNN, Pre-training Strategy=CrossPoint, Way=10, Shot=102022.03 | 62.9 | |
| GPSFormertrained from scratch=true, protocol=10-way, shots=20-shot2024.07 | 62.1 | |
| DGCNN + RandBackbone=DGCNN, Pre-training Strategy=Random, Way=5, Shot=102022.03 | 62 | |
| PointNet + OcCoBackbone=PointNet, Pre-training Strategy=OcCo, Way=10, Shot=202022.03 | 61.8 | |
| DGCNN + OcCoBackbone=DGCNN, Pre-training Strategy=OcCo, Way=10, Shot=202022.03 | 61.6 | |
| PointNet + RandBackbone=PointNet, Pre-training Strategy=Random, Way=5, Shot=202022.03 | 61.4 | |
| PointNet + cTreeBackbone=PointNet, Pre-training Strategy=cTree, Way=5, Shot=202022.03 | 61.4 | |
| PointNet + cTreeBackbone=PointNet, Pre-training Strategy=cTree, Way=5, Shot=102022.03 | 59.6 | |
| PointNet + CrossPointBackbone=PointNet, Pre-training Strategy=CrossPoint, Way=10, Shot=102022.03 | 58.7 | |
| PointNet + JigsawBackbone=PointNet, Pre-training Strategy=Jigsaw, Way=5, Shot=102022.03 | 58.6 | |
| PointNet + RandBackbone=PointNet, Pre-training Strategy=Random, Way=5, Shot=102022.03 | 57.6 | |
| DGCNN + OcCoBackbone=DGCNN, Pre-training Strategy=OcCo, Way=10, Shot=102022.03 | 57 | |
| PointNeXttrained from scratch=true, protocol=5-way, shots=10-shot2024.07 | 55.7 | |
| PointNet + OcCoBackbone=PointNet, Pre-training Strategy=OcCo, Way=10, Shot=102022.03 | 54.8 | |
| GPSFormertrained from scratch=true, protocol=10-way, shots=10-shot2024.07 | 54.3 | |
| PointNet + JigsawBackbone=PointNet, Pre-training Strategy=Jigsaw, Way=10, Shot=102022.03 | 53.6 | |
| PointNeXttrained from scratch=true, protocol=5-way, shots=20-shot2024.07 | 53.4 | |
| PointNet + cTreeBackbone=PointNet, Pre-training Strategy=cTree, Way=10, Shot=102022.03 | 53 | |
| PointNet + cTreeBackbone=PointNet, Pre-training Strategy=cTree, Way=10, Shot=202022.03 | 50.9 | |
| DGCNN + JigsawBackbone=DGCNN, Pre-training Strategy=Jigsaw, Way=10, Shot=202022.03 | 48.2 | |
| PointNet + JigsawBackbone=PointNet, Pre-training Strategy=Jigsaw, Way=10, Shot=202022.03 | 48.1 | |
| DGCNN + JigsawBackbone=DGCNN, Pre-training Strategy=Jigsaw, Way=10, Shot=102022.03 | 45.6 | |
| PointNet + RandBackbone=PointNet, Pre-training Strategy=Random, Way=10, Shot=202022.03 | 43.8 | |
| DGCNN + cTreeBackbone=DGCNN, Pre-training Strategy=cTree, Way=10, Shot=202022.03 | 43 | |
| PointNeXttrained from scratch=true, protocol=10-way, shots=20-shot2024.07 | 42.8 | |
| DGCNN + cTreeBackbone=DGCNN, Pre-training Strategy=cTree, Way=10, Shot=102022.03 | 42.4 | |
| DGCNN + RandBackbone=DGCNN, Pre-training Strategy=Random, Way=10, Shot=202022.03 | 41.8 | |
| PointNet + RandBackbone=PointNet, Pre-training Strategy=Random, Way=10, Shot=102022.03 | 41.3 | |
| PointNeXttrained from scratch=true, protocol=10-way, shots=10-shot2024.07 | 39.6 | |
| DGCNN + RandBackbone=DGCNN, Pre-training Strategy=Random, Way=10, Shot=102022.03 | 37.8 |