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HyperAI超神经

Zero Shot Semantic Segmentation On Coco Stuff

评估指标

Inductive Setting hIoU

Transductive Setting hIoU

评测结果

各个模型在此基准测试上的表现结果

模型名称	Inductive Setting hIoU	Transductive Setting hIoU	Paper Title	Repository
ZegCLIP	40.8	48.5	ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation	-
DeOP	38.2	-	Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network	-
CaGNet	18.2	19.5	Context-aware Feature Generation for Zero-shot Semantic Segmentation	-
STRICT	-	34.8	A Closer Look at Self-training for Zero-Label Semantic Segmentation	-
OTSeg	41.4	49.5	OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation	-
SPNet	14.0	30.3	Semantic Projection Network for Zero- and Few-Label Semantic Segmentation
MaskCLIP+	-	45.0	Extract Free Dense Labels from CLIP	-
CLIP-RC	41.2	49.7	Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
MVP-SEG+	-	45.5	MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation	-
zsseg	36.3	41.5	A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model	-
ZegFormer	33.2	-	Decoupling Zero-Shot Semantic Segmentation	-
OTSeg+	41.5	49.8	OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation	-
FreeSeg	-	45.3	FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation	-
SIGN	20.9	-	SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation	-
ZS5	15.0	16.2	Zero-Shot Semantic Segmentation	-

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Zero Shot Semantic Segmentation On Coco Stuff | SOTA | HyperAI超神经