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  3. UniSpector: Towards Universal Open-set Defect Recognition vi
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UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting

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Evidence Receipt

Freshness: 2026-04-06T20:14:01.136833+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting

PDF: https://arxiv.org/pdf/2604.02905v1

Source count: 0

Coverage: 0%

Last proof check: 2026-04-06T20:14:01.136Z

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Paper Mode

UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting

Overall score: 7/10
Lineage: 1612a29d0ea6…
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Canonical Paper Receipt

Last verification: 2026-04-06T20:14:01.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 0%

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Dimensions overall score 7.0

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Keep exploring

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VirPro: Visual-referred Probabilistic Prompt Learning for Weakly-Supervised Monocular 3D Detection
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Visual Prompt Discovery via Semantic Exploration
Score 7.0stable
Prior Work
Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection
Score 7.0stable
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Generalized Small Object Detection:A Point-Prompted Paradigm and Benchmark
Score 7.0stable
Prior Work
Large-Scale Universal Defect Generation: Foundation Models and Datasets
Score 7.0stable
Higher Viability
Prompt-Free Universal Region Proposal Network
Score 8.0up

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