3rd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation
Liu, Xinyu, Zhang, Jing, Zhang, Kexin, Yang, Yuting, Jiao, Licheng, Yang, Shuyuan
–arXiv.org Artificial Intelligence
Motion Expression guided Video Segmentation (MeViS) Track is designed to advance the study of natural languageguided Video Object Segmentation (VOS) is a vital task in computer video understanding in complex environments, with vision, focusing on distinguishing foreground objects the goal of fostering the development of a more comprehensive from the background across video frames. Our work draws and robust pixel-level understanding of video scenes in inspiration from the Cutie model, and we investigate the effects such settings and realistic scenarios through the inclusion of of object memory, the total number of memory frames, new videos, sentences, and annotations [7].
arXiv.org Artificial Intelligence
Jun-5-2024