C-MIDN+FRCNN
Reported on 5 benchmarks across 5 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology4 results
- 50.3best: 70.2 (WeakSAM-MIST-DINO (with SAM))
- 50.3best: 70.2 (WeakSAM-MIST-DINO (with SAM))
- 50.3best: 70.2 (WeakSAM-MIST-DINO (with SAM))
- 50.3best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Computer Vision1 result
- 50.3best: 70.2 (WeakSAM-MIST-DINO (with SAM))