LVOS: A Benchmark for Large-scale Long-term Video Object Segmentation

arXiv:2404.19326v1 Announce Type: new
Abstract: Video object segmentation (VOS) aims to distinguish and track target objects in a video. Despite the excellent performance achieved by off-the-shell VOS models, existing VOS benchmarks mainly focus on short-term videos lasting about 5 seconds, where objects remain visible most of the time. However, these benchmarks poorly represent practical applications, and the absence of long-term datasets restricts further investigation of VOS in realistic scenarios. Thus, we propose a novel benchmark named LVOS, comprising 720 videos …

arxiv benchmark cs.cv long-term object scale segmentation type video