Efficient RWKV-based Representation Learning for 3D Point Clouds

Benchmark Model Rank Results
3d-part-segmentation-on-shapenet-partPointER–Instance Average IoU: 86.44
3d-part-segmentation-on-shapenet-partPointER (Sup.)–Instance Average IoU: 85.16
3d-point-cloud-classification-on-scanobjectnnPointER (Point-MAE)–Overall Accuracy: 84.93OBJ-BG (OA): 90.38OBJ-ONLY (OA): 88.49
3d-point-cloud-classification-on-scanobjectnnPointER (Sup.)–Overall Accuracy: 82.55OBJ-BG (OA): 85.54OBJ-ONLY (OA): 86.41
supervised-only-3d-point-cloud-classification-on-scanobjectnnPointER (Point-MAE)–Overall Accuracy (PB_T50_RS): 84.93
supervised-only-3d-point-cloud-classification-on-scanobjectnnPointER (Sup.)–Overall Accuracy (PB_T50_RS): 82.55