paper-with-me

Instance Segmentation 벤치마크

Instance Segmentation on COCO val (panoptic labels)

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AP

49 49.75 50.5 51.25 52 2021-12 2026-11 Mask2Former (Swin-L, single-scale) — 49.1 (2021-12-02) OneFormer (InternImage-H, emb_dim=1024, single-scale) — 52.0 (2022-11-10) OneFormer (DiNAT-L, single-scale) — 49.2 (2022-11-10) OneFormer (Swin-L, single-scale) — 49.0 (2022-11-10) Mask2Former (Swin-L, single-scale) — 49.1 (2021-12-02) OneFormer (InternImage-H, emb_dim=1024, single-scale) — 52.0 (2022-11-10)
RankModel AP PaperCodeYear
1 OneFormer (InternImage-H, emb_dim=1024, single-scale) 52.0 OneFormer: One Transformer to Rule Universal Image Segmentation huggingface/transformers · SHI-Labs/OneFormer · yangyucheng000/University · +1 2022
2 OneFormer (DiNAT-L, single-scale) 49.2 OneFormer: One Transformer to Rule Universal Image Segmentation huggingface/transformers · SHI-Labs/OneFormer · yangyucheng000/University · +1 2022
3 Mask2Former (Swin-L, single-scale) 49.1 Masked-attention Mask Transformer for Universal Image Segmentation huggingface/transformers · open-mmlab/mmdetection · facebookresearch/Mask2Former · +4 2021
4 OneFormer (Swin-L, single-scale) 49.0 OneFormer: One Transformer to Rule Universal Image Segmentation huggingface/transformers · SHI-Labs/OneFormer · yangyucheng000/University · +1 2022
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