Semantic Segmentation on COCO-Stuff test

42개 결과 · ⬇ CSV · JSON

mIoU

Rank	Model	mIoU	Paper	Code	Year
1	VPNeXt	53.7	VPNeXt -- Rethinking Dense Decoding for Plain Vision Transformer		2025
2	ViT-P (InternImage-H)	53.5	The Missing Point in Vision Transformers for Universal Image Segmentation	sajjad-sh33/vit-p	2025
3	EVA	53.4	EVA: Exploring the Limits of Masked Visual Representation Learning at Scale	rwightman/pytorch-image-models · open-mmlab/mmselfsup · baaivision/eva · +3	2022
4	RSSeg-ViT-L (BEiT pretrain)	52.6%	Representation Separation for Semantic Segmentation with Vision Transformers		2022
5	RSSeg-ViT-L	52.0%	Representation Separation for Semantic Segmentation with Vision Transformers		2022
6	SegViT (ours)	50.3%	SegViT: Semantic Segmentation with Plain Vision Transformers	zbwxp/SegVit	2022
7	SenFormer (Swin-L)	50.1%	Efficient Self-Ensemble for Semantic Segmentation	WalBouss/SenFormer	2021
8	CAA (Efficientnet-B7)	45.4%	Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation	edwardyehuang/CAA	2021
9	HRNetV2 + OCR + RMI (PaddleClas pretrained)	45.2%	Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation	open-mmlab/mmsegmentation · PaddlePaddle/PaddleSeg · HRNet/HRNet-Semantic-Segmentation · +8	2019
10	DRAN(ResNet-101)	41.2%	Scene Segmentation with Dual Relation-aware Attention Network	junfu1115/DRAN	2020
10	CAA (ResNet-101)	41.2%	Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation	edwardyehuang/CAA	2021
12	OCR (HRNetV2-W48)	40.5%	Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation	open-mmlab/mmsegmentation · PaddlePaddle/PaddleSeg · HRNet/HRNet-Semantic-Segmentation · +8	2019
13	EMANet	39.9%	Expectation-Maximization Attention Networks for Semantic Segmentation	open-mmlab/mmsegmentation · PaddlePaddle/PaddleSeg · XiaLiPKU/EMANet · +2	2019
14	DANet (ResNet-101)	39.7%	Dual Attention Network for Scene Segmentation	xmu-xiaoma666/External-Attention-pytorch · open-mmlab/mmsegmentation · PaddlePaddle/PaddleSeg · +9	2018
15	SVCNet (ResNet-101)	39.6%	Semantic Correlation Promoted Shape-Variant Context for Segmentation	henghuiding/SVC	2019
16	OCR (ResNet-101)	39.5%	Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation	open-mmlab/mmsegmentation · PaddlePaddle/PaddleSeg · HRNet/HRNet-Semantic-Segmentation · +8	2019
17	Asymmetric ALNN	37.2%	Asymmetric Non-local Neural Networks for Semantic Segmentation	open-mmlab/mmsegmentation · PaddlePaddle/PaddleSeg · donnyyou/torchcv · +2	2019
18	CCL (ResNet-101)	35.7%	Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation	henghuiding/CCL	2018
19	RefineNet (ResNet-101)	33.6%	RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation	guosheng/refinenet · mindspore-ai/models · hugozanini/realtime-semantic-segmentation · +10	2016
20	DAG-RNN (VGG-16)	31.2%	DAG-Recurrent Neural Networks For Scene Labeling		2015