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pith:PEC4WROT

pith:2026:PEC4WROTOX7P3I6YDWQJVPRXC4
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Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration

Dinesh Manocha, Gengchen Mai, Kangyang Chai, Sergii Skakun, Xiaowei Jia, Yanhua Li, Yiqun Xie, Zhihao Wang, Zhili Li

Super-resolution models picked by PSNR or SSIM often deliver worse results on actual remote sensing tasks than lower-scoring alternatives.

arxiv:2605.00310 v2 · 2026-05-01 · cs.CV · cs.AI · cs.LG

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\pithnumber{PEC4WROTOX7P3I6YDWQJVPRXC4}

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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

The results show that improvements in traditional SR metrics often do not correlate with gains in task performance, and the correlations can be negative, indicating that these metrics provide limited guidance for selecting superior models for downstream tasks.

C2weakest assumption

That the chosen downstream task models, the five tasks per SR scenario, and the quality-controlled image pairs from 36,000 locations accurately represent the utility of SR outputs in real-world Earth monitoring applications.

C3one line summary

GeoSR-Bench shows that gains in traditional super-resolution metrics like PSNR and SSIM frequently do not correlate with, and can negatively correlate with, performance on downstream remote sensing tasks.

Receipt and verification
First computed 2026-06-02T02:04:18.418958Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7905cb45d375fefda3d81da09abe37170e533beeafcd62f7c9f01309f86f7fa2

Aliases

arxiv: 2605.00310 · arxiv_version: 2605.00310v2 · doi: 10.48550/arxiv.2605.00310 · pith_short_12: PEC4WROTOX7P · pith_short_16: PEC4WROTOX7P3I6Y · pith_short_8: PEC4WROT
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PEC4WROTOX7P3I6YDWQJVPRXC4 \
  | 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: 7905cb45d375fefda3d81da09abe37170e533beeafcd62f7c9f01309f86f7fa2
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-01T00:44:46Z",
    "title_canon_sha256": "e42f488354d3c66d7ba637ae8c794da0a8eee1feee8e890e247c1075e2b1c9ee"
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