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Research map / Detection and segmentation / 3D detection and driving

Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration

CVPR 2023 · Detection and segmentation › 3D detection and driving · approach: 3D objectness and scene segmentation · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use NST and NSE for one-demonstration skill transfer instead of Garmentnet correspondence transferDeformable cap manipulation · Cap40 simulated cap wearingWSR τ=0.2d: 65.16 -> 86.55Helped
Use NST and NSE for one-demonstration skill transfer instead of Garmentnet correspondence transferDeformable cap manipulation · Real-world cap wearingWear success rate: 0.44 -> 0.78Helped
Add contrastive loss Lconst (ablation)NST/NSE deformable cap manipulation · Cap40 simulated cap wearingWSR τ=0.2d: 83.17 -> 86.55Helped
Add contrastive loss Lconst (ablation)NST/NSE deformable cap manipulation · Real-world cap wearingWear success rate: 0.76 -> 0.78Helped
Add NSE module (ablation)NST deformable cap manipulation · Cap40 simulated cap wearingWSR τ=0.2d: 82.14 -> 86.55Helped
Add NSE module (ablation)NST deformable cap manipulation · Real-world cap wearingWear success rate: 0.72 -> 0.78Helped
Add contrastive loss Lconst to NST (ablation)Nocs coordinate prediction · Cap40Accuracy τ=0.04d: 57.0 -> 62.0Helped

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