Long Tail Video Object Segmentation

Long-tail Video Object Segmentation is an important sub-task in the field of computer vision, focusing on addressing the object segmentation problem for objects that appear infrequently in videos. The goal of this task is to improve the recognition and segmentation accuracy of long-tail distributed objects through algorithms, ensuring high robustness and precision in complex dynamic scenes. Its application value lies in enhancing system performance in areas such as autonomous driving, security surveillance, and intelligent video analysis, thereby improving the detection and response capabilities for rare events.