3 papers
cs.CV2025
S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization
Chenghao Zhang, Lun Luo, Si-Yuan Cao +6
LiDAR-based global localization is an essential component of simultaneous localization and mapping (SLAM), which helps loop closure and re-localization. Current approaches rely on…
cs.CV2025
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
Boyuan Meng, Xiaohan Zhang, Peilin Li +5
Cross-domain few-shot object detection (CD-FSOD) aims to detect novel objects across different domains with limited class instances. Feature confusion, including object-background…
cs.CV2024
SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning
Runmin Zhang, Jun Ma, Si-Yuan Cao +5
We propose a novel unsupervised cross-modal homography estimation framework based on intra-modal Self-supervised learning, Correlation, and consistent feature map Projection, namel…