That's a fascinating observation! The performance of object detection models can indeed vary based on the specific task and the dataset used.

DETR can be effective for object detection, but for instance segmentation tasks, Mask R-CNN often performs better due to its well-established pipeline. The choice between the two depends on your project needs, dataset, and resources. Consider also exploring other models like YOLO or EfficientDet for a balance between performance and speed.