3 accepted papers
Extrinsic calibration for LiDAR and camera using sparse point clouds can significantly reduce cost and improve efficiency. However, most target-based methods are designed for dense point clouds and are less effective in sparse scenarios, while targetless methods primarily rely on environmental featu…
Precise extrinsic calibration is one of the key techniques for LiDAR-camera fusion system. In current methods, the extrinsic calibration is usually not automatic. To address this, an automatic calibration method via combining semantic and geometric features is proposed, which is not dependent on any…
Recently, significant progress has been made in few-shot segmentation (FSS), which aims to segment unknown objects with only a few support images. However, during both training and testing, FSS still requires pixel-level annotations. When only image-level labels are available, FSS will become a more…