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pith:YFOMROQW

pith:2026:YFOMROQWM3347EG2OPAIDFQADJ

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WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition

Jiaxuan Sun, Longtian Qiu, Shan Ning, Xuming He

WikiCLIP shows a contrastive model with LLM entity embeddings and patch-level adaptation can outperform generative methods on open-domain visual entity recognition while running nearly 100 times faster.

arxiv:2603.09921 v3 · 2026-03-10 · cs.CV

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Claims

C1strongest claim

WikiCLIP achieves a 16% improvement on the challenging OVEN unseen set, while reducing inference latency by nearly 100 times compared with the leading generative model, AutoVER.

C2weakest assumption

That LLM-derived entity embeddings combined with the Vision-Guided Knowledge Adaptor and hard-negative synthesis can capture sufficient fine-grained visual-semantic alignment for open-domain entities without requiring generative modeling capacity.

C3one line summary

WikiCLIP delivers an efficient contrastive baseline for open-domain visual entity recognition that improves accuracy by 16% on OVEN unseen entities and runs nearly 100 times faster than leading generative models.

References

47 extracted · 47 resolved · 12 Pith anchors

[1] Flamingo: a visual language model for few-shot learning.Advances in Neural Information Processing Systems, 35:23716–23736,

[2] Good news, everyone! context driven entity-aware captioning for news images 2019

[3] Web-scale visual entity recognition: An llm-driven data approach.ArXiv, abs/2410.23676, 2024 2024

[4] A generative approach for wikipedia-scale visual entity recognition.2024 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 17313– 17322, 2024 2024

[5] PaLI: A Jointly-Scaled Multilingual Language-Image Model 2022 · arXiv:2209.06794

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Receipt and verification

First computed	2026-05-17T23:38:59.671088Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c15cc8ba1666f7cf90da73c08196001a7820e7b907a90061aa6d03ee9149eb07

Aliases

arxiv: 2603.09921 · arxiv_version: 2603.09921v3 · doi: 10.48550/arxiv.2603.09921 · pith_short_12: YFOMROQWM334 · pith_short_16: YFOMROQWM3347EG2 · pith_short_8: YFOMROQW

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/YFOMROQWM3347EG2OPAIDFQADJ \
  | 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: c15cc8ba1666f7cf90da73c08196001a7820e7b907a90061aa6d03ee9149eb07

Canonical record JSON

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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-03-10T17:18:53Z",
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