Partition, Refine, and Detect: Preserving Novel Category Capacity in Open-Vocabulary Object Detection

Not provided

open-vocabularyobject detectionmultimodalcategory refinement

2611.12976

Builder Relevance

80%

17h ago

Abstract

This paper presents PR-OVD, a framework that enhances open-vocabulary object detection by preserving capacity for novel categories and improving category separation.

Reality Card

Core Claim

PR-OVD achieves an average 6.5% proportional improvement on novel categories over state-of-the-art methods in open-vocabulary object detection.

Method / Result

6.5% proportional improvement on novel categories.

Limitations

The paper does not specify the authors or provide detailed reproducibility metrics.

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