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SOTA
Panoptische Segmentierung
Panoptic Segmentation On Coco Minival
Panoptic Segmentation On Coco Minival
Metriken
AP
PQ
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
AP
PQ
Paper Title
HyperSeg (Swin-B)
-
61.2
HyperSeg: Towards Universal Visual Segmentation with Large Language Model
OneFormer (InternImage-H,single-scale)
52.0
60.0
OneFormer: One Transformer to Rule Universal Image Segmentation
OpenSeeD (SwinL, single-scale)
53.2
59.5
A Simple Framework for Open-Vocabulary Segmentation and Detection
MasK DINO (SwinL,single-scale)
50.9
59.4
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation
DiNAT-L (single-scale, Mask2Former)
49.2
58.5
Dilated Neighborhood Attention Transformer
ViT-Adapter-L (single-scale, BEiTv2 pretrain, Mask2Former)
48.9
58.4
Vision Transformer Adapter for Dense Predictions
Visual Attention Network (VAN-B6 + Mask2Former)
-
58.2
Visual Attention Network
kMaX-DeepLab (single-scale, pseudo-labels)
-
58.1
kMaX-DeepLab: k-means Mask Transformer
HIPIE (ViT-H, single-scale)
-
58.1
Hierarchical Open-vocabulary Universal Image Segmentation
kMaX-DeepLab (single-scale, drop query with 256 queries)
-
58.0
kMaX-DeepLab: k-means Mask Transformer
OneFormer (DiNAT-L, single-scale)
49.2
58.0
OneFormer: One Transformer to Rule Universal Image Segmentation
FocalNet-L (Mask2Former (200 queries))
48.4
57.9
Focal Modulation Networks
kMaX-DeepLab (single-scale)
-
57.9
kMaX-DeepLab: k-means Mask Transformer
OneFormer (Swin-L, single-scale)
49.0
57.9
OneFormer: One Transformer to Rule Universal Image Segmentation
Mask2Former (single-scale)
48.6
57.8
Masked-attention Mask Transformer for Universal Image Segmentation
Panoptic SegFormer (single-scale)
-
55.8
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers
CMT-DeepLab (single-scale)
-
55.3
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
MaskFormer (single-scale)
-
52.7
Per-Pixel Classification is Not All You Need for Semantic Segmentation
MaX-DeepLab-L (single-scale)
-
51.1
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Panoptic SegFormer (ResNet-101)
-
50.6
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers
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Panoptic Segmentation On Coco Minival | SOTA | HyperAI