Our method, called softmax-driven active shape model (SD-ASM), uses information from deep neural networks to initialize and evolve a dynamic deformable model. The detection module enables treatment of ...

LiDAR-based 3D object detection is crucial for various applications but often experiences performance degradation in real-world deployments due to domain shifts. While most studies focus on ...

We introduce the new setting of open-vocabulary object 6D pose estimation, in which a textual prompt is used to specify the object of interest. In contrast to existing approaches, in our setting (i) ...

RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO & designed for fine-tuning. - DatSplit/rf-detr_export_documentation ...