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  3. Towards Adaptive Open-Set Object Detection via Category-Leve
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Towards Adaptive Open-Set Object Detection via Category-Level Collaboration Knowledge Mining

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Evidence Receipt

Freshness: 2026-04-14T16:18:28.571897+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Towards Adaptive Open-Set Object Detection via Category-Level Collaboration Knowledge Mining

PDF: https://arxiv.org/pdf/2604.11195v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-14T16:49:42.233Z

Paper Conversation

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Paper Mode

Towards Adaptive Open-Set Object Detection via Category-Level Collaboration Knowledge Mining

Overall score: 7/10
Lineage: d710d8eecd81…
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Canonical Paper Receipt

Last verification: 2026-04-14T16:49:42.233Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 3

Coverage: 50%

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Unknowns
  • - proof verification has not been recorded yet

Mode Notes

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  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

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Dimensions overall score 7.0

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Prior Work
ABRA: Teleporting Fine-Tuned Knowledge Across Domains for Open-Vocabulary Object Detection
Score 7.0stable
Prior Work
TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery
Score 7.0stable
Prior Work
Parameter-Efficient Semantic Augmentation for Enhancing Open-Vocabulary Object Detection
Score 7.0stable
Prior Work
Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learning
Score 7.0stable
Prior Work
COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm
Score 7.0stable
Competing Approach
SDDF: Specificity-Driven Dynamic Focusing for Open-Vocabulary Camouflaged Object Detection
Score 5.0down
Competing Approach
CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection
Score 6.0down
Competing Approach
DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection
Score 7.0stable

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