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Models/GENESIS-V2

GENESIS-V2

Reported on 8 benchmarks across 3 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Instance SegmentationonShelf&Tote Training Dataset
ARI· 2021-04-20
0.55
SOTA
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement arXiv:2104.09958
Instance SegmentationonShapeStacks
ARI-FG· 2021-04-20
0.81
best: 0.82 (AST)
SOTA
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement arXiv:2104.09958
Instance SegmentationonObjectsRoom
ARI-FG· 2021-04-20
0.84
best: 0.87 (AST)
SOTA
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement arXiv:2104.09958
Unsupervised Object SegmentationonShelf&Tote Training Dataset
ARI· 2021-04-20
0.55
SOTA
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement arXiv:2104.09958
Unsupervised Object SegmentationonShapeStacks
ARI-FG· 2021-04-20
0.81
best: 0.82 (AST)
SOTA
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement arXiv:2104.09958
Unsupervised Object SegmentationonObjectsRoom
ARI-FG· 2021-04-20
0.84
best: 0.87 (AST)
SOTA
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement arXiv:2104.09958

Medical2 results

Image GenerationonShapeStacks
FID· 2021-04-20
112.7
SOTA
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement arXiv:2104.09958
Image GenerationonObjectsRoom
FID· 2021-04-20
52.6
SOTA
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement arXiv:2104.09958