DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual Grounding

Visual grounding (VG) is a challenging task to localize an object in an image based on a textual description. Recent surge in the scale of VG models has substantially improved performance, but also introduced a significant burden on computational costs during fine-tuning. In this paper, we explore a...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Liu, Ting, Liu, Xuyang, Huang, Siteng, Chen, Honggang, Yin, Quanjun, Long, Qin, Wang, Donglin, Hu, Yue
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adapters Benchmarks Cognition & reasoning Knowledge management Parameters
Online-Zugang:	Volltext
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