Continuous Object Recognition

Continuous Object Recognition is a sub-task in the field of computer vision that focuses on continuously recognizing objects in data streams and mitigating the problem of catastrophic forgetting through continuous learning mechanisms, thereby enhancing the model's adaptability and accuracy in dynamic environments. The application value of this task lies in achieving real-time and efficient object detection and classification, making it suitable for scenarios such as surveillance and autonomous driving.