Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Benchmark Model Rank Results
3d-point-cloud-classification-on-modelnet40ReCon#7Overall Accuracy: 94.7
3d-point-cloud-classification-on-scanobjectnnReCon#10Overall Accuracy: 91.26OBJ-BG (OA): 95.35OBJ-ONLY (OA): 93.80
3d-point-cloud-classification-on-scanobjectnnReCon (no voting)#12Overall Accuracy: 90.63OBJ-BG (OA): 95.18OBJ-ONLY (OA): 93.29
3d-point-cloud-linear-classification-onReCon#4Overall Accuracy: 93.4
few-shot-3d-point-cloud-classification-on-1ReCon#6Overall Accuracy: 97.3Standard Deviation: 1.9
few-shot-3d-point-cloud-classification-on-2ReCon#5Overall Accuracy: 98.9Standard Deviation: 1.2
few-shot-3d-point-cloud-classification-on-3ReCon#8Overall Accuracy: 93.3Standard Deviation: 3.9
few-shot-3d-point-cloud-classification-on-4ReCon#5Overall Accuracy: 95.8Standard Deviation: 3.0
zero-shot-transfer-3d-point-cloudReCon#12Accuracy (%): 61.7
zero-shot-transfer-3d-point-cloud-1ReCon#1Accuracy (%): 75.6
zero-shot-transfer-3d-point-cloud-2ReCon#8OBJ_ONLY Accuracy(%): 43.7OBJ_BG Accuracy(%): 40.4