Home News Latest Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Instance Segmentation On Cityscapes Val

Metrics

mask AP

Results

Performance results of various models on this benchmark

Model Name	mask AP	Paper Title	Repository
Mask2Former (Swin-L, single-scale)	43.7	Masked-attention Mask Transformer for Universal Image Segmentation
OneFormer (ConvNeXt-L, single-scale, Mapillary-Pretrained)	48.7	OneFormer: One Transformer to Rule Universal Image Segmentation
Mask2Former (Swin-S)	41.8	Masked-attention Mask Transformer for Universal Image Segmentation
GAIS-Net	37.1	Geometry-Aware Instance Segmentation with Disparity Maps
DiNAT-L (single-scale, Mask2Former)	45.1	Dilated Neighborhood Attention Transformer
Mask2Former (ResNet-101)	38.5	Masked-attention Mask Transformer for Universal Image Segmentation
Mask2Former (Swin-B)	42	Masked-attention Mask Transformer for Universal Image Segmentation
OpenSeeD( SwinL, single-scale)	49.3	A Simple Framework for Open-Vocabulary Segmentation and Detection
PolySnake	40.2	Recurrent Generic Contour-based Instance Segmentation with Progressive Learning
Mask2Former (Swin-T)	39.7	Masked-attention Mask Transformer for Universal Image Segmentation
AFF-Base (single-scale, point-based Mask2Former)	46.2	AutoFocusFormer: Image Segmentation off the Grid
OneFormer (Swin-L, single-scale)	45.6	OneFormer: One Transformer to Rule Universal Image Segmentation
AFF-Small (single-scale, point-based Mask2Former)	44.0	AutoFocusFormer: Image Segmentation off the Grid
OneFormer (DiNAT-L, single-scale)	45.6	OneFormer: One Transformer to Rule Universal Image Segmentation
PointRend	35.8	PointRend: Image Segmentation as Rendering
Mask2Former (ResNet-50)	37.4	Masked-attention Mask Transformer for Universal Image Segmentation

0 of 16 row(s) selected.