A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time

5 Jul 2019Elena BurceanuMarius Leordeanu

We formulate object segmentation in video as a graph partitioning problem in space and time, in which nodes are pixels and their relations form local neighborhoods. We claim that the strongest cluster in this pixel-level graph represents the salient object segmentation... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Unsupervised Video Object Segmentation DAVIS 2016 SFSeg over LVO Jaccard (Mean) 78.8 # 6
Semi-Supervised Video Object Segmentation DAVIS 2016 SFSeg over OnAVOS Jaccard (Mean) 86.3 # 4

Methods used in the Paper


METHOD TYPE
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