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Shape Foundation Model (masked-token pretraining on CAD meshes)
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WizardryBig BrainNiche Gem
tito777
202mo ago
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Lingbot Vision – Self-Supervised Dense Perception (0.296 NYUv2 RMSE)
by Kajaking·Jul 7, 2026·1 point·0 comments
AI Analysis
●●●BangerBig BrainWizardry
Beats 7B DINOv3 on depth estimation with 1B params using boundary-centric self-supervision.
Strengths
- •Masked boundary modeling learns sub-pixel boundaries without annotations or edge detectors.
- •0.296 NYUv2 RMSE beats DINOv3's 0.309 despite being 7x smaller parameter count.
- •Frozen features scale to 4096-token grids preserving whiskers and thin structures.
Weaknesses
- •Only 55 GitHub stars suggests limited community adoption or recent release.
- •Dense perception niche may not appeal to general ML practitioners.
Category
Target Audience
ML researchers, computer vision engineers, robotics developers
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DINOv3 · Segment Anything (SAM) · Depth Anything
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