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Open-vocabulary semantic segmentation on Pascal Context-459 (test)
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22.6
mIoU
SED
4.192
8.971
13.75
18.529
Nov 27, 2023
mIoU
Updated 3d ago
Evaluation Results
Method
Method
Links
mIoU
SED
VLM=ConvNeXt-L, Traini...
2023.11
22.6
CAT-Seg
VLM=ViT-L/14, Feature...
2023.11
20.4
SED
VLM=ConvNeXt-B, Traini...
2023.11
18.6
FC-CLIP
VLM=ConvNeXt-L, Traini...
2023.11
18.2
SAN
VLM=ViT-L/14, Training...
2023.11
17.1
CAT-Seg
VLM=ViT-B/16, Feature...
2023.11
16.6
ODISE
VLM=ViT-L/14, Training...
2023.11
14.5
SAN
VLM=ViT-B/16, Training...
2023.11
12.6
OVSeg
VLM=ViT-L/14, Feature...
2023.11
12.4
OpenSeg
VLM=ALIGN, Feature bac...
2023.11
11.5
OVSeg
VLM=ViT-B/16, Feature...
2023.11
11
ZegFormer
VLM=ViT-B/16, Feature...
2023.11
10.4
Ding et al.
VLM=ViT-L/14, Training...
2023.11
10
DeOP
VLM=ViT-B/16, Feature...
2023.11
9.4
ZegFormer
VLM=ViT-B/16, Feature...
2023.11
9.1
OpenSeg
VLM=ALIGN, Feature bac...
2023.11
7.9
Han et al.
VLM=ViT-B/16, Feature...
2023.11
7.1
LSeg+
VLM=ALIGN, Feature bac...
2023.11
5.2
GroupViT
VLM=ViT-S/16, Training...
2023.11
4.9
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