Single frame boundary demos are easy to like. The annoying question starts on frame two: after an object moves a little and gets partly covered, is the representation still attached to the real edge? The LingBot Vision release shows clean static boundary visualizations and reports training free video object segmentation results. That is useful context, but it does not settle temporal boundary faithfulness. A small test would be enough to separate the two: track one sharp edge across a few mildly occluded frames and compare the boundary token with the mask. If the token drifts first, the single image result was doing more work than the video result. submitted by /u/Mediocre_Luck2467
Originally posted by u/Mediocre_Luck2467 on r/ArtificialInteligence
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