Instance Segmentation on ADE20K val

14개 결과 · ⬇ CSV · JSON

Rank	Model	AP	APL	APM	APS	Extra Training Data	Paper	Code	Year
1	OneFormer (InternImage-H, emb_dim=1024, single-scale, 896x896, COCO-Pretrained)	44.2	64.3	49.9	23.7		OneFormer: One Transformer to Rule Universal Image Segmentation	huggingface/transformers · SHI-Labs/OneFormer · yangyucheng000/University · +1	2022
2	OpenSeeD	42.6	–	–	–	✓	A Simple Framework for Open-Vocabulary Segmentation and Detection	microsoft/X-Decoder · idea-research/openseed	2023
3	ViT-P (OneFormer, DiNAT-L, single-scale, 1280x1280, COCO_pretrain)	40.7	–	–	–	✓	The Missing Point in Vision Transformers for Universal Image Segmentation	sajjad-sh33/vit-p	2025
4	OneFormer (DiNAT-L, single-scale, 1280x1280, COCO-pretrain)	40.2	59.7	44.4	19.2	✓	OneFormer: One Transformer to Rule Universal Image Segmentation	huggingface/transformers · SHI-Labs/OneFormer · yangyucheng000/University · +1	2022
5	X-Decoder (Davit-d5, Deform, single-scale, 1280x1280)	38.7	59.6	43.3	18.9	✓	Generalized Decoding for Pixel, Image, and Language	microsoft/X-Decoder	2022
6	ViT-P (OneFormer, DiNAT-L, single-scale, 1280x1280)	37.8	–	–	–		The Missing Point in Vision Transformers for Universal Image Segmentation	sajjad-sh33/vit-p	2025
7	OneFormer (DiNAT-L, single-scale)	36.0	–	–	–		OneFormer: One Transformer to Rule Universal Image Segmentation	huggingface/transformers · SHI-Labs/OneFormer · yangyucheng000/University · +1	2022
8	OneFormer (Swin-L, single-scale)	35.9	–	–	–		OneFormer: One Transformer to Rule Universal Image Segmentation	huggingface/transformers · SHI-Labs/OneFormer · yangyucheng000/University · +1	2022
9	X-Decoder (L)	35.8	–	–	–	✓	Generalized Decoding for Pixel, Image, and Language	microsoft/X-Decoder	2022
10	DiNAT-L (Mask2Former, single-scale)	35.4	55.5	39.0	16.3		Dilated Neighborhood Attention Transformer	huggingface/transformers · SHI-Labs/Neighborhood-Attention-Transformer · leondgarse/keras_cv_attention_models · +4	2022
11	Mask2Former (Swin-L, single-scale)	34.9	54.7	40	16.3		Masked-attention Mask Transformer for Universal Image Segmentation	huggingface/transformers · open-mmlab/mmdetection · facebookresearch/Mask2Former · +4	2021
12	Mask2Former (Swin-L + FAPN)	33.4	54.6	37.6	14.6		Masked-attention Mask Transformer for Universal Image Segmentation	huggingface/transformers · open-mmlab/mmdetection · facebookresearch/Mask2Former · +4	2021
13	Mask2Former (ResNet50)	26.4	–	–	10.4		Masked-attention Mask Transformer for Universal Image Segmentation	huggingface/transformers · open-mmlab/mmdetection · facebookresearch/Mask2Former · +4	2021
14	Mask2Former (ResNet-50)	–	43.1	28.9	–		Masked-attention Mask Transformer for Universal Image Segmentation	huggingface/transformers · open-mmlab/mmdetection · facebookresearch/Mask2Former · +4	2021