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Models/YOlO-SAM 2

YOlO-SAM 2

Reported on 8 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Medical4 results

Semantic SegmentationonPolypGen
Dice· 2024-09-14
0.808
SOTA
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484
Semantic SegmentationonPolypGen
Precision· 2024-09-14
0.858
SOTA
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484
Semantic SegmentationonPolypGen
Recall· 2024-09-14
0.764
SOTA
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484
Semantic SegmentationonPolypGen
mIoU· 2024-09-14
0.678
SOTA
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484

Audio4 results

10-shot image generationonPolypGen
Dice· 2024-09-14
0.808
SOTA
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484
10-shot image generationonPolypGen
Precision· 2024-09-14
0.858
SOTA
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484
10-shot image generationonPolypGen
Recall· 2024-09-14
0.764
SOTA
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484
10-shot image generationonPolypGen
mIoU· 2024-09-14
0.678
SOTA
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model arXiv:2409.09484