Unsupervised Semantic Segmentation On Coco 7

评估指标

Accuracy

mIoU

评测结果

各个模型在此基准测试上的表现结果

			Paper Title	Repository
DynaSeg - FSF (ResNet-18 FPN)	81.1	54.1	DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial Continuity
CAUSE (DINOv2, ViT-B/14)	78.0	45.3	Causal Unsupervised Semantic Segmentation
CAUSE (ViT-B/8)	74.9	41.9	Causal Unsupervised Semantic Segmentation
ViCE	64.8	21.77	ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
EAGLE (DINO, ViT-S/8)	64.2	27.2	EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
U2Seg	63.9	30.2	Unsupervised Universal Image Segmentation
SmooSeg (DINO, ViT-S/8)	63.2	26.7	-	-
PriMaPs+STEGO (DINO ViT-B/8)	57.9	29.7	Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
PriMaPs+HP (DINO ViT-S/8)	57.8	25.1	Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
HP (ViT-S/8)	57.2	24.6	Leveraging Hidden Positives for Unsupervised Semantic Segmentation
STEGO (ViT-B/8)	56.9	28.2	Unsupervised Semantic Segmentation by Distilling Feature Correspondences
SGSeg	55.7	-	Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks	-
EQUSS (ViT-S)	53.8	25.8	Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization	-
EQUSS	53.8	25.8	Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization	-
SAN	52.0	-	Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation	-
PiCIE + H	49.99	14.36	PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
PiCIE	48.1	-	PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
Ours (SlotCon)	42.36	-	Self-Supervised Visual Representation Learning with Semantic Grouping
FS4	40.38	15.69	Fully Self-Supervised Learning for Semantic Segmentation	-
IIC	21.8	-	Invariant Information Clustering for Unsupervised Image Classification and Segmentation

0 of 22 row(s) selected.