pith:YNG5SRF7
ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings
A 3D interactive segmentation framework processes multiple user clicks together in one forward pass to label objects accurately.
arxiv:2605.08925 v2 · 2026-05-09 · cs.CV
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Record completeness
Claims
Our framework ... processes multiple object clicks in a single forward pass. ... improves the mIoU metric by over 20 percent compared to strong baselines and achieves 8-10 percent gains under cross-dataset evaluation for a one-click per instance setting, often requiring only a single click per object.
That the hierarchical mask decoder with learnable semantic embeddings can jointly reason over all click queries, model inter-instance relationships, and refine both spatial masks and semantic predictions without requiring repeated model updates after each corrective click.
A point-Transformer interactive 3D instance segmentation model handles multiple clicks jointly in one pass and reports over 20% mIoU gains versus baselines plus 8-10% cross-dataset improvement for one-click-per-instance settings.
Formal links
Receipt and verification
| First computed | 2026-05-20T00:03:15.536901Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c34dd944bfb410d9ba69eb974c0fbe6aa34ed6545cde1ce8d67bd1d41930942c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YNG5SRF7WQINTOTJ5OLUYD56NK \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: c34dd944bfb410d9ba69eb974c0fbe6aa34ed6545cde1ce8d67bd1d41930942c
Canonical record JSON
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