研究人员开发了一种新的Turbo推理策略，该策略在目标检测和实例分割任务之间迭代地使用信息。该方法包括专门的Turbo检测和Turbo分割头，它们进行通信以提高检测和分割精度。在COCO和Cityscapes等数据集上的实验显示出显著的改进，提供了预测精度和推理速度之间的权衡。 AI
影响 提高了目标检测和实例分割任务的准确性，可能改善实际应用中的性能。
排序理由 该集群包含一篇详细介绍计算机视觉新方法的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.12371v1 Announce Type: new Abstract: Object detection and instance segmentation tasks are closely related. Existing top-down instance segmentation methods usually follow a detect-then-segment paradigm, where an initial detector is used to recognize and localize objects…
Object detection and instance segmentation tasks are closely related. Existing top-down instance segmentation methods usually follow a detect-then-segment paradigm, where an initial detector is used to recognize and localize objects with bounding boxes, followed by the segmentati…