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2D Semantic Segmentation task 3 (25 classes) 벤치마크

2D Semantic Segmentation task 3 (25 classes) on CaDIS

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Mean IoU (test)

63.23 65.41 67.58 69.76 71.94 2019-06 2026-09 UPN — 66.76 (2019-06-27) HRNetv2 — 66.64 (2019-06-27) DeepLabv3+ — 63.23 (2019-06-27) OCR-R50-Repeat Factor-Lovasz — 71.94 (2021-08-13) DeepLabv3+-R50-Repeat Factor-Lovasz — 70.51 (2021-08-13) UPN-R50-Repeat Factor-Lovasz — 70.44 (2021-08-13) UPN — 66.76 (2019-06-27) OCR-R50-Repeat Factor-Lovasz — 71.94 (2021-08-13)
RankModel Mean IoU (test)Mean IoU (val) PaperCodeYear
1 OCR-R50-Repeat Factor-Lovasz 71.9479.4 Effective semantic segmentation in Cataract Surgery: What matters most? rvimlab/miccai2021_cataract_semantic_segmentation 2021
2 DeepLabv3+-R50-Repeat Factor-Lovasz 70.5177.44 Effective semantic segmentation in Cataract Surgery: What matters most? rvimlab/miccai2021_cataract_semantic_segmentation 2021
3 UPN-R50-Repeat Factor-Lovasz 70.4475.75 Effective semantic segmentation in Cataract Surgery: What matters most? rvimlab/miccai2021_cataract_semantic_segmentation 2021
4 UPN 66.7674.20 CaDIS: Cataract Dataset for Image Segmentation 2019
5 HRNetv2 66.6472.40 CaDIS: Cataract Dataset for Image Segmentation 2019
6 DeepLabv3+ 63.2368.60 CaDIS: Cataract Dataset for Image Segmentation 2019
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