QueryInst treats instance segmentation as a query-based detection problem using transformer attention mechanisms. It extends the query-based detection paradigm (similar to DETR) to simultaneously handle object detection and mask segmentation. The model was integrated into the OpenMMLab mmdetection library and achieves competitive performance on COCO benchmark for both instance segmentation and object detection.