4 citations · 6 across the 4 of their papers we have counts for
4 papers
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction
Yansheng Li, Tingzhu Wang, Kang Wu +3
Scene Graph Generation (SGG) aims to explore the relationships between objects in images and obtain scene summary graphs, thereby better serving downstream tasks. However, the long…
STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery
Yansheng Li, Linlin Wang, Tingzhu Wang +11
Scene graph generation (SGG) in satellite imagery (SAI) benefits promoting understanding of geospatial scenarios from perception to cognition. In SAI, objects exhibit great variati…
AUG: A New Dataset and An Efficient Model for Aerial Image Urban Scene Graph Generation
Yansheng Li, Kun Li, Yongjun Zhang +2
Scene graph generation (SGG) aims to understand the visual objects and their semantic relationships from one given image. Until now, lots of SGG datasets with the eyelevel view are…
GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery
Yansheng Li, Bo Dang, Wanchun Li +1
Global surface water detection in very-high-resolution (VHR) satellite imagery can directly serve major applications such as refined flood mapping and water resource assessment. Al…