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  1. Home
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  3. Rewis3d: Reconstruction Improves Weakly-Supervised Semantic
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Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation

Fresh4d ago
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0.0/10

Compared to this week’s papers

Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation

PDF: https://arxiv.org/pdf/2603.06374v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation

Overall score: 7/10
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Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 17%

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Dimensions overall score 7.0

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Keep exploring

Builds On This
Reliev3R: Relieving Feed-forward Reconstruction from Multi-View Geometric Annotations
Score 6.0down
Builds On This
UniSem: Generalizable Semantic 3D Reconstruction from Sparse Unposed Images
Score 2.0down
Builds On This
S2D: Sparse to Dense Lifting for 3D Reconstruction with Minimal Inputs
Score 2.0down
Prior Work
Speed3R: Sparse Feed-forward 3D Reconstruction Models
Score 7.0stable
Prior Work
GeoGuide: Hierarchical Geometric Guidance for Open-Vocabulary 3D Semantic Segmentation
Score 7.0stable
Prior Work
FAST3DIS: Feed-forward Anchored Scene Transformer for 3D Instance Segmentation
Score 7.0stable
Prior Work
Synthetic-to-Real Domain Bridging for Single-View 3D Reconstruction of Ships for Maritime Monitoring
Score 7.0stable
Prior Work
Scene Grounding In the Wild
Score 7.0stable

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