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Models/DiverGen (Swin-L)

DiverGen (Swin-L)

Reported on 12 benchmarks across 6 tasks · 1 paper · 1 SOTA

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

Methodology8 results

3DonLVIS v1.0 val
box AP· 2024-05-16
51.2
best: 68 (Co-DETR (single-scale))
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185
3DonLVIS v1.0 val
box APr· 2024-05-16
50.1
best: 64 (Grounding DINO 1.5 Pro)
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185
2D ClassificationonLVIS v1.0 val
box AP· 2024-05-16
51.2
best: 68 (Co-DETR (single-scale))
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185
2D ClassificationonLVIS v1.0 val
box APr· 2024-05-16
50.1
best: 64 (Grounding DINO 1.5 Pro)
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185
2D Object DetectiononLVIS v1.0 val
box AP· 2024-05-16
51.2
best: 68 (Co-DETR (single-scale))
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185
2D Object DetectiononLVIS v1.0 val
box APr· 2024-05-16
50.1
best: 64 (Grounding DINO 1.5 Pro)
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185
16konLVIS v1.0 val
box AP· 2024-05-16
51.2
best: 68 (Co-DETR (single-scale))
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185
16konLVIS v1.0 val
box APr· 2024-05-16
50.1
best: 64 (Grounding DINO 1.5 Pro)
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185

Computer Vision4 results

Instance SegmentationonLVIS v1.0 val
mask APr· 2024-05-16
45.8
SOTA
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185
Object DetectiononLVIS v1.0 val
box AP· 2024-05-16
51.2
best: 68 (Co-DETR (single-scale))
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185
Object DetectiononLVIS v1.0 val
box APr· 2024-05-16
50.1
best: 64 (Grounding DINO 1.5 Pro)
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185
Instance SegmentationonLVIS v1.0 val
mask AP· 2024-05-16
45.5
best: 60.7 (Co-DETR (single-scale))
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data arXiv:2405.10185