Yolo-SAM 2

Reported on 4 benchmarks across 1 task · 1 paper

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

Medical4 results

Medical Image SegmentationonKvasir-SEG
mIoU· 2024-09-14
0.764
best: 0.9065 (EffiSegNet-B5)
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484
Medical Image SegmentationonKvasir-SEG
mean Dice· 2024-09-14
0.866
best: 0.9502 (DUCK-Net)
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484
Medical Image SegmentationonCVC-ClinicDB
mIoU· 2024-09-14
0.909
best: 0.9343 (DUCK-Net)
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484
Medical Image SegmentationonCVC-ClinicDB
mean Dice· 2024-09-14
0.951
best: 0.9684 (DUCK-Net)
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484