most citedBOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval

5 citations · 7 across the 3 of their papers we have counts for

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cs.AI2023★ 1 cited

TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining

Qing Zong, Zhaowei Wang, Baixuan Xu +6

A main goal of Argument Mining (AM) is to analyze an author's stance. Unlike previous AM datasets focusing only on text, the shared task at the 10th Workshop on Argument Mining int…

cs.AI2022★ 5 cited

BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval

Wenqiao Zhang, Jiannan Guo, Mengze Li +5

Content-Based Image Retrieval (CIR) aims to search for a target image by concurrently comprehending the composition of an example image and a complementary text, which potentially…