Pith Number

pith:IAR7C42Y

pith:2026:IAR7C42YWAI6UMKZ2IDDJMTEJV

not attested not anchored not stored refs resolved

Towards Accurate Single Panoramic 3D Detection: A Semantic Gaussian Centric Approach

Kanglin Ning, Shaoru Sun, Wenrui Li, Xiaopeng Fan, Xingtao Wang, Yiran Zhao

PanoGSDet lifts 2D panoramic features into continuous 3D semantic Gaussians for monocular object detection.

arxiv:2605.14601 v1 · 2026-05-14 · cs.CV

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\pithnumber{IAR7C42YWAI6UMKZ2IDDJMTEJV}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications 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

Extensive experiments on the Structured3D dataset demonstrate that our method significantly outperforms existing methods.

C2weakest assumption

That spherical 2D semantic and depth features can be accurately projected and optimized into 3D semantic Gaussians that faithfully represent scene geometry from a single monocular panorama.

C3one line summary

PanoGSDet projects panoramic 2D features into optimized semantic 3D Gaussians to generate accurate 3D bounding boxes, outperforming prior methods on the Structured3D dataset.

References

14 extracted · 14 resolved · 0 Pith anchors

[1] One flight over the gap: A survey from perspective to panoramic vision, 2025

[2] Panoextend: An omnidirectional image super-resolution method based on spherical expansion, 2025

[3] 3d object detection algorithm for panoramic images with multi-scale convolutional neural network, 2019

[4] Eliminating the blind spot: Adapting 3d object detection and monocular depth estimation to 360 panoramic imagery, 2018

[5] 3d object detection from a single fisheye image without a single fisheye training image, 2021

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:04.255417Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4023f17358b011ea3159d20634b2644d7d30d848022e4f18cef4fa887d242398

Aliases

arxiv: 2605.14601 · arxiv_version: 2605.14601v1 · doi: 10.48550/arxiv.2605.14601 · pith_short_12: IAR7C42YWAI6 · pith_short_16: IAR7C42YWAI6UMKZ · pith_short_8: IAR7C42Y

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/IAR7C42YWAI6UMKZ2IDDJMTEJV \
  | 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: 4023f17358b011ea3159d20634b2644d7d30d848022e4f18cef4fa887d242398

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ffca1ed4b2611de7208c753ba98a03c3e6e865a8cf10b356f587f986a709df80",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T09:14:24Z",
    "title_canon_sha256": "1cabd8a27d0c3b6f8d0dd590ca08b084fb6305fb3d8c7d7b687f01ba22696d09"
  },
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  "source": {
    "id": "2605.14601",
    "kind": "arxiv",
    "version": 1
  }
}