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pith:OJBTBE7G

pith:2026:OJBTBE7GPCOVRGCXYCJ2ARLV3A
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ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow

Amir H. Gandomi, Chuangqi Li, Dongxu Zhang, Guangxin Wu, Hao Zhang, Jianyuan Ni, Jiekai Wu, Pengbin Feng, Rong Fu, Shiyin Lin, Simon Fong, Yang Li, Zijian Zhang

ProtoFlow models class prototypes as low-curvature trajectories to reduce forgetting in continual remote sensing segmentation.

arxiv:2604.03212 v2 · 2026-04-03 · cs.CV

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

explicitly modeling temporal prototype evolution is a practical and interpretable strategy for robust continual remote sensing segmentation

C2weakest assumption

That enforcing low-curvature motion and inter-class separation on learned prototype trajectories is sufficient to control representation drift and catastrophic forgetting without additional mechanisms such as replay buffers or architectural expansion.

C3one line summary

ProtoFlow stabilizes class prototypes via low-curvature temporal flow to mitigate forgetting in class- and domain-incremental remote sensing segmentation.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

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First computed 2026-05-20T00:05:44.323976Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

72433093e6789d589857c093a04575d82f1ce0a0402ce3f018c7af3c21a82ed9

Aliases

arxiv: 2604.03212 · arxiv_version: 2604.03212v2 · doi: 10.48550/arxiv.2604.03212 · pith_short_12: OJBTBE7GPCOV · pith_short_16: OJBTBE7GPCOVRGCX · pith_short_8: OJBTBE7G
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/OJBTBE7GPCOVRGCXYCJ2ARLV3A \
  | 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: 72433093e6789d589857c093a04575d82f1ce0a0402ce3f018c7af3c21a82ed9
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-03T17:40:58Z",
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