Diverse Image Segmentation on MMFire
92.3HM IoUModeProposalNet (Full)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ModeProposalNet (Full)Proposals=162026.03 | 92.3 | — | — | — | 0 | |
| ModeProposalNet (Single)Proposals=162026.03 | 90.9 | — | — | — | 0 | |
| SPELLNumber of batches=4, Samples per batch=8, Variation=batch & memory bank2026.03 | 83 | 99.9 | 6 | 2 | — | |
| Diffusion + SPELLProposals=322026.03 | 83 | — | — | — | 2 | |
| SPELLNumber of batches=4, Samples per batch=8, Variation=batch2026.03 | 82.6 | 99.9 | 6 | 2 | — | |
| SPELLNumber of batches=4, Samples per batch=8, Variation=memory bank2026.03 | 80.1 | 99.9 | 5.5 | 2 | — | |
| Particle GuidanceNumber of batches=4, Samples per batch=8, Variation=batch2026.03 | 79.6 | 99.9 | 5.5 | 2 | — | |
| Particle GuidanceNumber of batches=4, Samples per batch=8, Variation=batch & memory bank2026.03 | 78.6 | 99.9 | 5.3 | 2 | — | |
| SPELLNumber of batches=2, Samples per batch=8, Variation=batch & memory bank2026.03 | 78.4 | 99.9 | 5.3 | 0 | — | |
| Diffusion + SPELLProposals=162026.03 | 78.4 | — | — | — | 0 | |
| SPELLNumber of batches=2, Samples per batch=8, Variation=batch2026.03 | 78.1 | 99.9 | 5.2 | 0 | — | |
| Particle GuidanceNumber of batches=4, Samples per batch=8, Variation=memory bank2026.03 | 78 | 99.9 | 5.2 | 2 | — | |
| ClusteringNumber of batches=4, Samples per batch=8, Clusters=256→322026.03 | 77 | 99.9 | 5 | 2 | — | |
| SPELLNumber of batches=2, Samples per batch=8, Variation=memory bank2026.03 | 76.5 | 99.9 | 5 | 0 | — | |
| Particle GuidanceNumber of batches=2, Samples per batch=8, Variation=batch2026.03 | 75.1 | 99.9 | 4.8 | 1 | — | |
| Naive samplingNumber of batches=4, Samples per batch=82026.03 | 75.1 | 99.9 | 4.7 | 1 | — | |
| Particle GuidanceNumber of batches=2, Samples per batch=8, Variation=batch & memory bank2026.03 | 74.8 | 99.9 | 4.7 | 1 | — | |
| Particle GuidanceNumber of batches=2, Samples per batch=8, Variation=memory bank2026.03 | 73.8 | 99.9 | 4.6 | 1 | — | |
| ClusteringNumber of batches=2, Samples per batch=8, Clusters=256→162026.03 | 72.8 | 99.9 | 4.4 | 2 | — | |
| Naive samplingNumber of batches=2, Samples per batch=82026.03 | 70.5 | 99.9 | 4.1 | 0 | — | |
| ProbUNetNumber of batches=4, Samples per batch=82026.03 | 68.7 | 99.9 | 4.3 | 0 | — | |
| ProbU-NetProposals=322026.03 | 68.7 | — | — | — | 0 | |
| ProbUNetNumber of batches=2, Samples per batch=82026.03 | 63.7 | 99.9 | 3.8 | 0 | — | |
| ProbU-NetProposals=162026.03 | 63.7 | — | — | — | 0 |