LVOS: A Benchmark for Long-term Video Object Segmentation

Understand

Existing video object segmentation (VOS) benchmarks focus on short-term videos which just last about 3-5 seconds and where objects are visible most of the time.

• These videos are poorly representative of practical applications, and the absence of long-term datasets restricts further investigation of VOS on the application in realistic scenarios.
• So, in this paper, we present a new benchmark dataset named \textbf{LVOS}, which consists of 220 videos with a total duration of 421 minutes.
• To the best of our knowledge, LVOS is the first densely annotated long-term VOS dataset.