TreePrompt: Learning to Compose Tree Prompts for Explainable Visual Grounding

no code implementations • 19 May 2023 • Chenchi Zhang, Jun Xiao, Lei Chen, Jian Shao, Long Chen

In this paper, we argue that their poor interpretability is attributed to the holistic prompt generation and inference process.

Sentence Visual Grounding

VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching

no code implementations • 12 May 2021 • Chenchi Zhang, Wenbo Ma, Jun Xiao, Hanwang Zhang, Jian Shao, Yueting Zhuang, Long Chen

In this paper, we argue that these methods overlook an obvious \emph{mismatch} between the roles of proposals in the two stages: they generate proposals solely based on the detection confidence (i. e., query-agnostic), hoping that the proposals contain all instances mentioned in the text query (i. e., query-aware).

Image-text matching Referring Expression +2