UniDGF: A Unified Detection-to-Generation Framework for Hierarchical Object Visual Recognition

• URL: http://arxiv.org/abs/2511.15984v1
• Date: Thu, 20 Nov 2025 02:37:43 GMT
• Title: UniDGF: A Unified Detection-to-Generation Framework for Hierarchical Object Visual Recognition
• Authors: Xinyu Nan, Lingtao Mao, Huangyu Dai, Zexin Zheng, Xinyu Sun, Zihan Liang, Ben Chen, Yuqing Ding, Chenyi Lei, Wenwu Ou, Han Li,
• Abstract summary: We introduce a detection-guided generative framework that predicts hierarchical category and attribute tokens.<n>For each detected object, we extract refined ROI-level features and employ a BART-based generator to produce semantic tokens.<n> Experiments on both large-scale proprietary e-commerce datasets and open-source datasets demonstrate that our approach significantly outperforms existing similarity-based pipelines.
• Score: 14.256812146187565
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Achieving visual semantic understanding requires a unified framework that simultaneously handles object detection, category prediction, and attribute recognition. However, current advanced approaches rely on global similarity and struggle to capture fine-grained category distinctions and category-specific attribute diversity, especially in large-scale e-commerce scenarios. To overcome these challenges, we introduce a detection-guided generative framework that predicts hierarchical category and attribute tokens. For each detected object, we extract refined ROI-level features and employ a BART-based generator to produce semantic tokens in a coarse-to-fine sequence covering category hierarchies and property-value pairs, with support for property-conditioned attribute recognition. Experiments on both large-scale proprietary e-commerce datasets and open-source datasets demonstrate that our approach significantly outperforms existing similarity-based pipelines and multi-stage classification systems, achieving stronger fine-grained recognition and more coherent unified inference.

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