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Semantic Segmentation on Pascal VOC 20

98.4mIoUPCA-Seg
79.57684.46389.3594.237Oct 9, 2022May 19, 2023Dec 28, 2023Aug 7, 2024Mar 17, 2025Oct 26, 2025Jun 6, 2026

Evaluation results

MethodLinks
PCA-SegBackbone=ViT-L/14, Training Dataset=COCO-Stuff2026.0398.4
DeCLIPBackbone=ViT-L/14, Training Dataset=COCO-Stuff2026.0397.7
H-CLIPBackbone=ViT-L/14, Training Dataset=COCO-Stuff2026.0397.7
ESC-NetSize=ViT-B/16, Training Approach=Training-based2024.1197.3
PCA-SegBackbone=ViT-B/16, Training Dataset=COCO-Stuff2026.0397.3
CAT-SegVLM=CLIP ViT-L/14, Training Dataset=COCO-Stuff, Additional Dataset=false2023.0397
CAT-SegBackbone=ViT-L/14, Training Dataset=COCO-Stuff2026.0397
LLMFormerBackbone=ViT-L/14, Training Dataset=COCO-Stuff2026.0396.8
DeCLIPBackbone=ViT-B/16, Training Dataset=COCO-Stuff2026.0396.6
MAFT+VLM Backbone=ConvNeXt-L, Ensemble Operation=false2024.0896.5
EBSegBackbone=ViT-L/14, Training Dataset=COCO-Stuff2026.0396.4
SEDBackbone=ConvNeXt-L, Training Dataset=COCO-Stuff2026.0396.1
Mask-AdapterBackbone=ConvNeXt-L, Training Dataset=COCO-Stuff2026.0395.8
MAFTP*VLM=CLIP ConvNeXt-B, Training Dataset=COCO-Stuff2026.0695.5
FC-CLIPVLM Backbone=ConvNeXt-L, Ensemble Operation=true2024.0895.4
H-CLIPBackbone=ViT-B/16, Training Dataset=COCO-Stuff2026.0395.2
Mask-AdapterBackbone=ConvNeXt-B, Training Dataset=COCO-Stuff2026.0395.1
MAFTP w/ MaskAdapter (Baseline)VLM=CLIP ConvNeXt-B, Training Dataset=COCO-Stuff2026.0695.1
SCNVLM=CLIP ConvNeXt-B, Training Dataset=COCO-Stuff2026.0695.1
CAT-SegSize=ViT-B/16, Training Approach=Training-based2024.1194.6
CAT-SegVLM=CLIP ViT-B/16, Training Dataset=COCO-Stuff, Additional Dataset=false2023.0394.6
SANVLM=CLIP ViT-L/14, Training Dataset=COCO-Stuff, Additional Dataset=false2023.0394.6
SANVLM Backbone=ViT-L, Ensemble Operation=false2024.0894.6
EBSegBackbone=ViT-B/16, Training Dataset=COCO-Stuff2026.0394.6
CAT-SegBackbone=ViT-B/16, Training Dataset=COCO-Stuff2026.0394.6
EBSegVLM=CLIP ViT-B/16, Training Dataset=COCO-Stuff2026.0694.6
CAT-SegVLM=CLIP ViT-B/16, Training Dataset=COCO-Stuff2026.0694.6
OVSegbackbone=Swin-B, training dataset=COCO-Stuff-1712022.1094.5
OVSegVLM=CLIP ViT-L/14, Additional Backbone=Swin-B, Training Dataset=COCO-Stuff, Additional Dataset=true2023.0394.5
OVSegVLM Backbone=ViT-L, Ensemble Operation=false2024.0894.5
OVSegBackbone=ViT-L/14, Training Dataset=COCO-Stuff + Caption2026.0394.5
SEDBackbone=ConvNeXt-B, Training Dataset=COCO-Stuff2026.0394.4
SEDVLM=CLIP ConvNeXt-B, Training Dataset=COCO-Stuff2026.0694.4
SANVLM=CLIP ViT-B/16, Training Dataset=COCO-Stuff, Additional Dataset=false2023.0394
SANVLM=CLIP ViT-B/16, Training Dataset=COCO-Stuff2026.0694
ZegCLIPVLM=CLIP ViT-B/16, Training Dataset=COCO-Stuff-156, Additional Dataset=false2023.0393.6
MAFTVLM Backbone=ConvNeXt-L, Ensemble Operation=false2024.0893
OVSegbackbone=R-101c, training dataset=COCO-Stuff-1712022.1092.6
OVSegVLM=CLIP ViT-B/16, Additional Backbone=ResNet-101c, Training Dataset=COCO-Stuff, Additional Dataset=true2023.0392.6
OVSegBackbone=ViT-B/16, Training Dataset=COCO-Stuff + Caption2026.0392.6
OvSegVLM=CLIP ViT-B/16, Training Dataset=COCO-Stuff2026.0692.6
MAFTVLM Backbone=ViT-L, Ensemble Operation=false2024.0892.1
HyperSeg2026.0392.1
CorrCLIPSize=ViT-H/14, Training Approach=Training-free2024.1191.8
DeOPVLM=CLIP ViT-B/16, Training Dataset=COCO-Stuff2026.0691.7
CorrCLIPSize=ViT-L/14, Training Approach=Training-free2024.1191.5
CaRSize=ViT-L/14, Training Approach=Training-free2024.1191.4
CLIPerSize=ViT-L/14, Training Approach=Training-free2024.1190
SelfTrainbackbone=Eff-L2, training dataset=Same as test2022.1090
SELF1E-2Btrained on corresponding datasets=true2026.0389.9
ZegFormer†VLM=CLIP ViT-B/16, Additional Backbone=ResNet-101, Training Dataset=COCO-Stuff, Additional Dataset=false2023.0389.5
FC-CLIPVLM Backbone=ConvNeXt-L, Ensemble Operation=false2024.0889.5
ZegFormerVLM=CLIP ViT-B/16, Training Dataset=COCO-Stuff2026.0689.5
OVSegbackbone=R-101c, training dataset=COCO-Stuff-1562022.1089.2
CorrCLIPSize=ViT-B/16, Training Approach=Training-free2024.1188.8
TridentSize=ViT-H/14, Training Approach=Training-free2024.1188.7
ZSSegVLM=CLIP ViT-B/16, Additional Backbone=ResNet-101, Training Dataset=COCO-Stuff, Additional Dataset=false2023.0388.4
ZSsegBackbone=ViT-B/16, Training Dataset=COCO-Stuff2026.0388.4
SC-CLIPSize=ViT-L/14, Training Approach=Training-free2024.1188.3
FreeDASize=ViT-L/14, Training Approach=Training-free2024.1187.9
CASSSize=ViT-B/16, Training Approach=Training-free2024.1187.8
SCLIP + GPUA (DINOv3)Base Framework=SCLIP, Alignment Strategy=GPUA, Visual Foundation Model=DINOv3, Protocol=Zero-shot2026.0687.8
SC-CLIP + GPUA (DINOv3)Base Framework=SC-CLIP, Alignment Strategy=GPUA, Visual Foundation Model=DINOv3, Protocol=Zero-shot2026.0687.6
ClearCLIP + ResCLIPTraining-free=true, Encoder=ViT-B/162024.1187.1
Talk2DINOBase Framework=Talk2DINO, Protocol=Zero-shot2026.0687.1
ZegFormerVLM=CLIP ViT-B/16, Additional Backbone=ResNet-101, Training Dataset=COCO-Stuff-156, Additional Dataset=false2023.0386.2
ZegFormerBackbone=ViT-B/16, Training Dataset=COCO-Stuff-1562026.0386.2
ResCLIPSize=ViT-B/16, Training Approach=Training-free2024.1186
NACLIP + ResCLIPTraining-free=true, Encoder=ViT-B/162024.1186
ResCLIPSize=ViT-L/14, Training Approach=Training-free2024.1185.5
NACLIP + ResCLIPTraining-free=true, Encoder=ViT-L/142024.1185.5
CLIPerSize=ViT-B/16, Training Approach=Training-free2024.1185.2
SCLIP + ResCLIPTraining-free=true, Encoder=ViT-B/162024.1184.6
TridentSize=ViT-B/16, Training Approach=Training-free2024.1184.5
SC-CLIPSize=ViT-B/16, Training Approach=Training-free2024.1184.3
SC-CLIPBase Framework=SC-CLIP, Protocol=Zero-shot2026.0684.3
ClearCLIP + ResCLIPTraining-free=true, Encoder=ViT-L/142024.1184.2
SCLIP + ResCLIPTraining-free=true, Encoder=ViT-L/142024.1183.9
ProxyCLIPSize=ViT-H/14, Training Approach=Training-free2024.1183.3
ProxyCLIPBackbone=OpenCLIP-ViT-H/14, Training Strategy=Zero-shot2024.0883.3
TCLSize=ViT-B/16, Training Approach=Training-based2024.1183.2
ProxyCLIPSize=ViT-L/14, Training Approach=Training-free2024.1183.2
ProxyCLIPBackbone=CLIP-ViT-L/14, Training Strategy=Zero-shot2024.0883.2
GKCBackbone=ViT-B/16, Training Dataset=COCO Panoptic2026.0383.2
NACLIPSize=ViT-B/16, Training Approach=Training-free2024.1183
ProxyCLIPBase Framework=ProxyCLIP, Protocol=Zero-shot2026.0683
LaVGSize=ViT-B/16, Training Approach=Training-free2024.1182.5
LPOSS+Base Framework=LPOSS+, Protocol=Zero-shot2026.0682.5
HiMTok-8B2026.0382
SCLIPBase Framework=SCLIP, Protocol=Zero-shot2026.0681.5
PSALM2026.0381.3
CLIPtraseSize=ViT-B/16, Training Approach=Training-free2024.1181.2
CLIP-DINOiserSize=ViT-B/16, Training Approach=Training-based2024.1180.9
ClearCLIPSize=ViT-B/16, Training Approach=Training-free2024.1180.9
ClearCLIPTraining-free=true, Encoder=ViT-B/162024.1180.9
ZegFormerbackbone=R-50, training dataset=COCO-Stuff-1562022.1080.7
SCLIPSize=ViT-B/16, Training Approach=Training-free2024.1180.4
SCLIPBackbone=CLIP-ViT-B/16, Training Strategy=Zero-shot2024.0880.4
SCLIPTraining-free=true, Encoder=ViT-B/162024.1180.4
ProxyCLIPSize=ViT-B/16, Training Approach=Training-free2024.1180.3