Pith Number

pith:46IGTSGR

pith:2026:46IGTSGRPZKGAK55NLZBCWGIKV

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InfoGeo: Information-Theoretic Object-Centric Learning for Cross-View Generalizable UAV Geo-Localization

Hongrui Yin, Hongyang Zhang, Man On Pun, Maonnan Wang, Ziyao Wang

Reformulating cross-view geo-localization as an information bottleneck that aligns object-centric structural relations across views improves robustness to domain shifts and clutter in UAV scenarios.

arxiv:2605.07099 v2 · 2026-05-08 · cs.CV

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\pithnumber{46IGTSGRPZKGAK55NLZBCWGIKV}

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4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

InfoGeo reformulates the optimization as an information bottleneck process with two core objectives: (i) maximizing view-invariant information by aligning the object-centric structural relations across views, and (ii) minimizing view-specific noisy signals through cross-view knowledge constraints.

C2weakest assumption

That object-centric structural relations extracted from images are sufficiently view-invariant to serve as the primary signal for localization, and that cross-view knowledge constraints can be formulated to remove noise without discarding useful localization cues.

C3one line summary

InfoGeo reformulates cross-view geo-localization as an information bottleneck that aligns object-centric structural relations across views while minimizing view-specific noise.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:04:34.483092Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e79069c8d17e54602bbd6af21158c855622900153139fc79a9972c4ffd16e0b7

Aliases

arxiv: 2605.07099 · arxiv_version: 2605.07099v2 · doi: 10.48550/arxiv.2605.07099 · pith_short_12: 46IGTSGRPZKG · pith_short_16: 46IGTSGRPZKGAK55 · pith_short_8: 46IGTSGR

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/46IGTSGRPZKGAK55NLZBCWGIKV \
  | 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: e79069c8d17e54602bbd6af21158c855622900153139fc79a9972c4ffd16e0b7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a7feea1fc60efe6523db4744f3b8ba10a8ac666572b009b36666bb3eb83c6d50",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-08T01:28:49Z",
    "title_canon_sha256": "4ae6f2efc574a5556fb63f2ae942ff9572967edb97a56c6a618cd5e0df961c32"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.07099",
    "kind": "arxiv",
    "version": 2
  }
}