Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/CellViT-SAM-H

CellViT-SAM-H

Reported on 6 benchmarks across 4 tasks · 1 paper · 6 SOTA

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

Methodology3 results

2D ClassificationonPanNuke
Average F1· 2023-06-27
0.83
SOTA
CellViT: Vision Transformers for Precise Cell Segmentation and Classification arXiv:2306.15350
2D ClassificationonPanNuke
Average Precision· 2023-06-27
0.84
SOTA
CellViT: Vision Transformers for Precise Cell Segmentation and Classification arXiv:2306.15350
2D ClassificationonPanNuke
Average Recall· 2023-06-27
0.81
SOTA
CellViT: Vision Transformers for Precise Cell Segmentation and Classification arXiv:2306.15350

Medical1 result

Semantic SegmentationonPanNuke
PQ· 2023-06-27
50.62
best: 50.8 (LKCell)
SOTA
CellViT: Vision Transformers for Precise Cell Segmentation and Classification arXiv:2306.15350

Audio1 result

10-shot image generationonPanNuke
PQ· 2023-06-27
50.62
best: 50.8 (LKCell)
SOTA
CellViT: Vision Transformers for Precise Cell Segmentation and Classification arXiv:2306.15350

Computer Vision1 result

Panoptic SegmentationonPanNuke
PQ· 2023-06-27
50.62
best: 50.8 (LKCell)
SOTA
CellViT: Vision Transformers for Precise Cell Segmentation and Classification arXiv:2306.15350