Open-vocabulary Semantic Segmentation on PAS-20 Pascal VOC (test)
96.6mIoUCAT-Seg
Evaluation Results
| Method | Links | |
|---|---|---|
| CAT-SegVLM=ViT-L/14, Feature backbone=Swin-B, Training dataset=COCO-Stuff2023.11 | 96.6 | |
| MAFT+semBackbone=ConvNeXt-L2026.03 | 96.5 | |
| SEDVLM=ConvNeXt-L, Training dataset=COCO-Stuff2023.11 | 96.1 | |
| MAFT+panBackbone=ConvNeXt-L2026.03 | 95.6 | |
| SANVLM=ViT-L/14, Training dataset=COCO-Stuff2023.11 | 95.5 | |
| OVRBackbone=ConvNeXt-L2026.03 | 95.5 | |
| FC-CLIPVLM=ConvNeXt-L, Training dataset=COCO Panoptic [26]2023.11 | 95.4 | |
| FC-CLIP*Backbone=ConvNeXt-L2026.03 | 95.4 | |
| SANBackbone=ViT-L2026.03 | 94.6 | |
| OVSegVLM=ViT-L/14, Feature backbone=Swin-B, Training dataset=COCO-Stuff+COCO Caption2023.11 | 94.5 | |
| OVSegBackbone=ViT-L2026.03 | 94.5 | |
| SEDVLM=ConvNeXt-B, Training dataset=COCO-Stuff2023.11 | 94.4 | |
| OVRCOATBackbone=ConvNeXt-L2026.03 | 94.1 | |
| SANVLM=ViT-B/16, Training dataset=COCO-Stuff2023.11 | 94 | |
| CAT-SegVLM=ViT-B/16, Feature backbone=ResNet-101, Training dataset=COCO-Stuff2023.11 | 93.7 | |
| OVSegVLM=ViT-B/16, Feature backbone=ResNet-101c, Training dataset=COCO-Stuff+COCO Caption2023.11 | 92.6 | |
| DeOPVLM=ViT-B/16, Feature backbone=ResNet-101c, Training dataset=COCO-Stuff-1562023.11 | 91.7 | |
| ZegFormerVLM=ViT-B/16, Feature backbone=ResNet-101, Training dataset=COCO-Stuff2023.11 | 89.5 | |
| SimBaselineVLM=ViT-B/16, Feature backbone=ResNet-101, Training dataset=COCO-Stuff2023.11 | 88.4 | |
| ZegFormerVLM=ViT-B/16, Feature backbone=ResNet-101, Training dataset=COCO-Stuff-1562023.11 | 86.2 | |
| Han et al.VLM=ViT-B/16, Feature backbone=ResNet-101, Training dataset=COCO Panoptic [26]2023.11 | 83.2 | |
| PACLVLM=ViT-B/16, Training dataset=GCC [40]+YFCC [44]2023.11 | 72.3 | |
| OpenSegBackbone=ALIGN2026.03 | 72.2 | |
| LSegVLM=ViT-B/32, Feature backbone=ViT-L/16, Training dataset=PASCAL VOC-152023.11 | 52.3 | |
| GroupViTVLM=ViT-S/16, Training dataset=GCC [40]+YFCC [44]2023.11 | 50.7 | |
| LSegVLM=ViT-B/32, Feature backbone=ResNet-101, Training dataset=PASCAL VOC-152023.11 | 47.4 | |
| ZS3NetFeature backbone=ResNet-101, Training dataset=PASCAL VOC2023.11 | 38.3 | |
| SPNetFeature backbone=ResNet-101, Training dataset=PASCAL VOC2023.11 | 18.3 |