4 papers · 1 filter
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation
Tao Liu, Rongjie Li, Chongyu Wang +1
Open-vocabulary Scene Graph Generation (OV-SGG) overcomes the limitations of the closed-set assumption by aligning visual relationship representations with open-vocabulary textual…
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models
Rongjie Li, Songyang Zhang, Dahua Lin +2
Scene graph generation (SGG) aims to parse a visual scene into an intermediate graph representation for downstream reasoning tasks. Despite recent advancements, existing methods st…
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning
Rongjie Li, Yu Wu, Xuming He
Generative vision-language models (VLMs) have shown impressive performance in zero-shot vision-language tasks like image captioning and visual question answering. However, improvin…
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation
Zeeshan Hayder, Xuming He
Scene graph generation aims to capture detailed spatial and semantic relationships between objects in an image, which is challenging due to incomplete labelling, long-tailed relati…