pith:TTXTPDR7
TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations
Cyclic interaction between centerline detection and topology reasoning, driven by hierarchical point-to-instance features, improves road layout understanding in driving scenes.
arxiv:2604.24119 v2 · 2026-04-27 · cs.CV
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Record completeness
Claims
On the OpenLane-V2 benchmark, TopoHR refreshes state-of-the-art performance with significant improvements. Notably, compared with previous best results, TopoHR achieves +3.8 in DET_l, +5.4 in TOP_ll on subset_A and +11.0 in DET_l, +7.9 in TOP_ll on subset_B, validating the effectiveness of the proposed components.
That the cyclic interaction between centerline detection and topology reasoning, enabled by the hierarchical point-to-instance features, is the primary driver of the reported benchmark gains rather than other unstated factors such as training details or dataset specifics.
TopoHR proposes a hierarchical centerline representation and topology reasoning module with point-to-instance relations and cyclic interactions, achieving new state-of-the-art results on the OpenLane-V2 benchmark for autonomous driving.
Receipt and verification
| First computed | 2026-06-11T01:09:36.427623Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9cef378e3f82997e6889d44aa7f2b388bdcf458ccfb720dca030c2e7cda248d8
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TTXTPDR7QKMX42EJ2RFKP4VTRC \
| 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: 9cef378e3f82997e6889d44aa7f2b388bdcf458ccfb720dca030c2e7cda248d8
Canonical record JSON
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