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arXiv preprint arXiv:2404.03650 (2024)

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

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citation-polarity summary

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cs.CV 2

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2026 2

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UNVERDICTED 2

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representative citing papers

3AM: 3egment Anything with Geometric Consistency in Videos

cs.CV · 2026-01-13 · unverdicted · novelty 7.0

3AM integrates MUSt3R 3D features into SAM2 via a Feature Merger and FOV-aware sampling to deliver geometry-consistent video object segmentation from RGB alone, with large gains on wide-baseline datasets.

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings

cs.CV · 2026-05-09 · unverdicted · novelty 6.0 · 2 refs

ClickSeg3D uses a point Transformer encoder and hierarchical mask decoder with semantic embeddings to enable single-pass multi-object 3D interactive segmentation from sparse points, reporting over 20% mIoU gains versus baselines and 8-10% cross-dataset improvements with one click per instance.

citing papers explorer

Showing 2 of 2 citing papers.

  • 3AM: 3egment Anything with Geometric Consistency in Videos cs.CV · 2026-01-13 · unverdicted · none · ref 20

    3AM integrates MUSt3R 3D features into SAM2 via a Feature Merger and FOV-aware sampling to deliver geometry-consistent video object segmentation from RGB alone, with large gains on wide-baseline datasets.

  • ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings cs.CV · 2026-05-09 · unverdicted · none · ref 8 · 2 links

    ClickSeg3D uses a point Transformer encoder and hierarchical mask decoder with semantic embeddings to enable single-pass multi-object 3D interactive segmentation from sparse points, reporting over 20% mIoU gains versus baselines and 8-10% cross-dataset improvements with one click per instance.