AlignPose performs generalizable 6D pose estimation by multi-view feature-metric refinement that minimizes feature discrepancy between on-the-fly rendered object features and observed images across calibrated views.
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cs.CV 3years
2025 3representative citing papers
SigLino distills SigLIP2 and DINOv3 into efficient vision models via asymmetric relation-knowledge distillation, token-balanced batching, and hierarchical data sampling on a new 200M-image corpus, yielding better transfer to grounding VLMs than training from scratch.
Chorus pretrains a shared 3D Gaussian scene encoder via multi-teacher distillation to capture holistic features from high-level semantics to fine-grained structure, with strong transfer on segmentation and point-cloud tasks using far fewer scenes.
citing papers explorer
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AlignPose: Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment
AlignPose performs generalizable 6D pose estimation by multi-view feature-metric refinement that minimizes feature discrepancy between on-the-fly rendered object features and observed images across calibrated views.
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SigLino: Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models
SigLino distills SigLIP2 and DINOv3 into efficient vision models via asymmetric relation-knowledge distillation, token-balanced batching, and hierarchical data sampling on a new 200M-image corpus, yielding better transfer to grounding VLMs than training from scratch.
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Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding
Chorus pretrains a shared 3D Gaussian scene encoder via multi-teacher distillation to capture holistic features from high-level semantics to fine-grained structure, with strong transfer on segmentation and point-cloud tasks using far fewer scenes.