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Models/SimLTD Fully Supervised (Swin-L)

SimLTD Fully Supervised (Swin-L)

Reported on 10 benchmarks across 5 tasks · 1 paper

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· 2024-12-28
49.8
best: 68 (Co-DETR (single-scale))
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection arXiv:2412.20047
3DonLVIS v1.0 val
box APr· 2024-12-28
42.4
best: 64 (Grounding DINO 1.5 Pro)
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection arXiv:2412.20047
2D ClassificationonLVIS v1.0 val
box AP· 2024-12-28
49.8
best: 68 (Co-DETR (single-scale))
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection arXiv:2412.20047
2D ClassificationonLVIS v1.0 val
box APr· 2024-12-28
42.4
best: 64 (Grounding DINO 1.5 Pro)
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection arXiv:2412.20047
2D Object DetectiononLVIS v1.0 val
box AP· 2024-12-28
49.8
best: 68 (Co-DETR (single-scale))
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection arXiv:2412.20047
2D Object DetectiononLVIS v1.0 val
box APr· 2024-12-28
42.4
best: 64 (Grounding DINO 1.5 Pro)
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection arXiv:2412.20047
16konLVIS v1.0 val
box AP· 2024-12-28
49.8
best: 68 (Co-DETR (single-scale))
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection arXiv:2412.20047
16konLVIS v1.0 val
box APr· 2024-12-28
42.4
best: 64 (Grounding DINO 1.5 Pro)
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection arXiv:2412.20047

Computer Vision2 results

Object DetectiononLVIS v1.0 val
box AP· 2024-12-28
49.8
best: 68 (Co-DETR (single-scale))
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection arXiv:2412.20047
Object DetectiononLVIS v1.0 val
box APr· 2024-12-28
42.4
best: 64 (Grounding DINO 1.5 Pro)
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection arXiv:2412.20047