EndoVis
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Surgical Instrument Segmentation | EndoVis 2018 (test) | Ch_IoU88.24 | 32 | |
| Surgical Instrument Segmentation | EndoVis 2017 (test) | mIoU78.57 | 22 | |
| Medical Image Segmentation | Endovis multiclass 17 (test) | Dice Score0.8377 | 18 | |
| Medical Image Segmentation | Endovis binary 17 (test) | Dice Score95.56 | 18 | |
| Semantic Segmentation | EndoVis 17 | Dice86.65 | 18 | |
| Low-Light Image Enhancement | EndoVis18 | PSNR31.99 | 14 | |
| Low-Light Image Enhancement | EndoVis 17 | FPS20.69 | 14 | |
| Surgical Instrument Segmentation | Endovis17 to Endovis18 1.0 (target) | Scissor IoU76.24 | 14 | |
| Binary Surgical Instrument Segmentation | EndoVis 2017 1 (test) | DSC84.06 | 12 | |
| Binary Surgical Instrument Segmentation | EndoVis 2018 1 (test) | DSC83.15 | 12 | |
| Phase Recognition | EndoVis | Avg. Precision91 | 12 | |
| Surgical instrument segmentation | EndoVis 2017 | Ch_IoU79.9 | 11 | |
| Visual Question Localization and Answering | EndoVis at t=1 18 | Accuracy62.65 | 11 | |
| Visual Question Localization and Answering | EndoVis at t=1 17 | Accuracy81.59 | 10 | |
| Visual Question Localization and Answering | EndoVis17 (t=2) | Acc46.77 | 10 | |
| Visual Question Localization and Answering | EndoVis 18 (t=2) | Accuracy39.13 | 10 | |
| Instrument Segmentation | EndoVis Noisy 2018 α = 0.5 | mIOU50.34 | 10 | |
| Semantic Segmentation | EndoVis18 Seq_9 | mIoU (instrument-shaft)38.49 | 10 | |
| Semantic Segmentation | EndoVis 18 (Seq 5) | mIoU (instrument-wrist)43.29 | 10 | |
| Segmentation | EndoVis 18 | mIoU43.9 | 8 | |
| Medical Image Segmentation | Endovis 17 | DSC0.68 | 8 | |
| Video Object Segmentation | EndoVis (val) | J (Jaccard Index)89.4 | 7 | |
| Instrument Segmentation | EndoVis α = 0.8 2018 (Noisy) | mIOU41.36 | 6 | |
| Instrument Segmentation | EndoVis 2018 α = 0.3 (Noisy) | mIOU52.91 | 6 | |
| Referring Video Object Segmentation | EndoVis-IM17 (test) | J89.91 | 5 |
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