Open-World Object Detection

ลงชื่อเข้าใช้

ข้อมูลเชิงลึก - Open-World Object Detection

SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-World Object Detector

The core message of this paper is that a simple knowledge distillation approach can effectively transfer the open-world knowledge from a large pre-trained vision-language model to a specialized open-world object detector, achieving better performance for unknown object detection compared to the teacher model.

YOLOOC: A YOLO-based Open-Class Incremental Object Detector with Novel Class Discovery

The core message of this paper is to propose a new YOLO-based open-class incremental object detection framework, YOLOOC, that can effectively discover novel classes during inference while maintaining the performance on previously known classes.

เกี่ยวกับ

ผลิตภัณฑ์ | แหล่งข้อมูล

ข้อมูลเชิงลึก