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Semi Supervised Video Object Segmentation On 21

Metrics

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FPS
J
Ju0026F

Results

Performance results of various models on this benchmark

Model Name
F
FPS
J
Ju0026F
Paper TitleRepository
DEVA (no OVIS)64.325.355.860.0Tracking Anything with Decoupled Video Segmentation-
Cutie (small, MEGA)72.945.564.368.6Putting the Object Back into Video Object Segmentation-
DeAOT63.8-55.159.4Decoupling Features in Hierarchical Propagation for Video Object Segmentation-
RDE52.9-44.648.8Recurrent Dynamic Embedding for Video Object Segmentation-
XMem62.0-53.357.6XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model-
Cutie+ (base, MEGA)75.817.967.671.7Putting the Object Back into Video Object Segmentation-
AOT61.3-53.157.2Associating Objects with Transformers for Video Object Segmentation-
Cutie (base)67.936.460.064.0Putting the Object Back into Video Object Segmentation-
SWEM54.9-46.850.9SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization-
Cutie+ (small, MEGA)74.520.666.070.3Putting the Object Back into Video Object Segmentation-
DEVA (with OVIS)70.825.362.366.5Tracking Anything with Decoupled Video Segmentation-
Cutie (small)66.245.558.262.2Putting the Object Back into Video Object Segmentation-
STCN55.0-46.650.8Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation-
Cutie (base, with mose)72.336.464.268.3Putting the Object Back into Video Object Segmentation-
Cutie (base, MEGA)74.136.465.869.9Putting the Object Back into Video Object Segmentation-
Cutie (small, with mose)71.745.563.167.4Putting the Object Back into Video Object Segmentation-
SAM2---77.9SAM 2: Segment Anything in Images and Videos-
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Semi Supervised Video Object Segmentation On 21 | SOTA | HyperAI