2 papers
cs.CV2026
SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection
Wei Zhang, Xiang Liu, Ningjing Liu +4
A consistent trend throughout the research of oriented object detection has been the pursuit of maintaining comparable performance with fewer and weaker annotations. This is partic…
cs.CV2025
LLM-Assisted Semantic Guidance for Sparsely Annotated Remote Sensing Object Detection
Wei Liao, Chunyan Xu, Chenxu Wang +1
Sparse annotation in remote sensing object detection poses significant challenges due to dense object distributions and category imbalances. Although existing Dense Pseudo-Label me…