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Semi Supervised Video Object Segmentation On 1

Metrics

F-measure (Mean)
FPS
Ju0026F
Jaccard (Mean)

Results

Performance results of various models on this benchmark

Paper Title
Cutie+ (base, MEGA)91.417.988.184.7Putting the Object Back into Video Object Segmentation
Cutie (base, MEGA)89.936.486.182.4Putting the Object Back into Video Object Segmentation
Cutie+ (base)89.217.985.982.6Putting the Object Back into Video Object Segmentation
SwinB-AOST (L'=3, MS)88.51.384.780.9Scalable Video Object Segmentation with Identification Mechanism
SwinB-AOTv2-L87.91.384.581.0Scalable Video Object Segmentation with Identification Mechanism
JIMD-R5087.4-83.980.3Memory Matching is not Enough: Jointly Improving Memory Matching and Decoding for Video Object Segmentation
XMem (BL30K, MS)87.0-83.780.5XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
DEVA86.825.383.279.6Tracking Anything with Decoupled Video Segmentation
XMem (MS)86.4-83.179.7XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
SwinB-DeAOT-L86.715.482.878.9Decoupling Features in Hierarchical Propagation for Video Object Segmentation
SwinB-AOST (L'=3)86.612.082.778.8Scalable Video Object Segmentation with Identification Mechanism
XMem (BL30K, 600p)85.8-82.579.1XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
QDMN85.4-81.978.1Learning Quality-aware Dynamic Memory for Video Object Segmentation
XMem (BL30K)84.7-81.277.6XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
SwinB-AOT-L85.112.181.277.3Associating Objects with Transformers for Video Object Segmentation
RPCMVOS-Full-Res84.3-8177.6Reliable Propagation-Correction Modulation for Video Object Segmentation
XMem84.5-81.077.4XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
R50-DeAOT-L84.527.080.776.9Decoupling Features in Hierarchical Propagation for Video Object Segmentation
R50-AOST (L'=3)83.617.579.976.2Scalable Video Object Segmentation with Identification Mechanism
STCN83.5-79.976.3Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
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