4 accepted papers
Robot-assisted minimally invasive surgery is widely used because of its superior postoperative recovery outcomes. However, the workload for surgeons remains high. The development of autonomous suturing capabilities in surgical robots is poised to significantly reduce surgeon workload. In this study,
LiDAR-camera calibration plays a crucial role in autonomous driving. However, operation-induced factors such as physical vibrations and temperature variations degrade the pre-deployment calibration accuracy, leading to the environmental perception performance deterioration. Recent recalibration meth…
The relationship between various objects in real life is very important and universal. However, existing object detection models, especially Two-stage models, mostly rely solely on instance learning of individual objects, which use limited global information to extract regions of interest and neglec…
Benchmarks for large multimodal language models (MLMs) now serve to simultaneously assess the general capabilities of models instead of evaluating for a specific capability. As a result, when a developer wants to identify which models to use for their application, they are overwhelmed by the number…