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Semantic Segmentation on PC-59

68.4mIoUDiGSeg
35.84844.29952.7561.201Dec 16, 2024Mar 8, 2025May 30, 2025Aug 21, 2025Nov 12, 2025Feb 3, 2026Apr 27, 2026

Evaluation results

MethodLinks
DiGSegVLM=CLIP ViT-L/14, Backbone=Stable Diffusion, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0468.4
ESC-NetVLM=CLIP ViT-L/14, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0465.6
HyperCLIPVLM=CLIP ViT-L/14, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0464.2
DCP-CLIPVLM=CLIP ViT-L/14, Training dataset=COCO-Stuff2026.0363.8
BBNVLM=CLIP ViT-L/14, Training dataset=COCO-Stuff2026.0363.7
CAT-SegCLIP arch.=ViT-L/14, Training dataset=COCO Stuff2024.1263.3
DiGSegVLM=CLIP ViT-B/16, Backbone=Stable Diffusion, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0462.7
MaskCLIP++ w/ FC-CLIPCLIP arch.=ViT-L/14, Training dataset=COCO Stuff2024.1262.6
MaskCLIP++ w/ MAFT+CLIP arch.=ViT-L/14, Training dataset=COCO Stuff2024.1262.5
CLIPSelfCLIP arch.=ViT-L/14, Training dataset=COCO Stuff2024.1262.3
DPSegVLM=CLIP ConvNeXt-L, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0462.3
SemLAVLM=CLIP ConvNeXt-L, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0462.2
CAT-SegVLM=CLIP ViT-L/14, Additional Backbone=Swin-B, Training dataset=COCO-Stuff2026.0362
CAT-SegVLM=CLIP ViT-L/14, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0462
OVSNetVLM=CLIP ViT-L/14, Backbone=ResNet-101c, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0462
SAM 32025.1160.8
SAM 32025.1160.8
SEDCLIP arch.=ConvNeXt-L, Training dataset=COCO Stuff2024.1260.6
SEDVLM=ConvNeXt-L, Training dataset=COCO-Stuff2026.0360.6
SEDVLM=CLIP ConvNeXt-L, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0460.6
Mask-AdapterVLM=CLIP ConvNeXt-L, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0460.4
SANVLM=CLIP ViT-L/14, Training dataset=COCO-Stuff2026.0360.2
EBSegVLM=CLIP ViT-L/14, Additional Backbone=SAM [41], Training dataset=COCO-Stuff2026.0360.2
GBAVLM=ConvNeXt-L, Training dataset=COCO Panoptic [54]2026.0359.6
MAFT+CLIP arch.=ConvNeXt-L, Training dataset=COCO Stuff2024.1259.4
MAFT+VLM=ConvNeXt-L, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0459.4
SCANCLIP arch.=ViT-L/14, Training dataset=COCO Stuff2024.1259.3
SCANVLM=CLIP ViT-B/16, Additional Backbone=Swin-B, Training dataset=COCO-Stuff2026.0359.3
SCANVLM=CLIP ViT-L/14, Backbone=Swin-B, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0459.3
ESC-NetVLM=CLIP ViT-B/16, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0459
APE-D*training=partially trained on LVIS2025.1158.5
APE-D2025.1158.5
HyperCLIPVLM=CLIP ViT-B/16, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0458.5
FC-CLIPCLIP arch.=ConvNeXt-L, Training dataset=COCO Panoptic2024.1258.4
SCANVLM=CLIP ViT-B/16, Additional Backbone=Swin-B, Training dataset=COCO-Stuff2026.0358.4
FC-CLIPVLM=ConvNeXt-L, Training dataset=COCO Panoptic [54]2026.0358.4
SCANVLM=CLIP ViT-B/16, Backbone=Swin-B, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0458.4
Mask-AdapterVLM=CLIP ConvNeXt-B, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0458.4
DPSegVLM=CLIP ConvNeXt-B, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0458.4
OPMapperVLM=CLIP ViT-B/16, Backbone=Swin-B, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0458.3
DCP-CLIPVLM=CLIP ViT-B/16, Training dataset=COCO-Stuff2026.0358.1
USEVLM=CLIP ViT-L/14, Additional Backbone=Swin-B,SAM [41], Training dataset=COCO-Stuff2026.0358
MasQCLIPCLIP arch.=ViT-L/14, Training dataset=COCO Panoptic2024.1257.8
SANCLIP arch.=ViT-L/14, Training dataset=COCO Stuff2024.1257.7
CAT-SegVLM=CLIP ViT-B/16, Additional Backbone=ResNet-101, Training dataset=COCO-Stuff2026.0357.5
CAT-SegVLM=CLIP ViT-B/16, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0457.5
ODISECLIP arch.=ViT-L/14, Training dataset=COCO Panoptic2024.1257.3
SEDVLM=ConvNeXt-B, Training dataset=COCO-Stuff2026.0357.3
ODISEVLM=CLIP ViT-L/14, Additional Backbone=Stable Diffusion, Training dataset=COCO Panoptic [54]2026.0357.3
SEDVLM=ConvNeXt-B, Backbone=-, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0457.3
EBSegVLM=CLIP ViT-B/16, Additional Backbone=SAM [41], Training dataset=COCO-Stuff2026.0356.7
EBSegVLM=CLIP ViT-B/16, Backbone=SAM ViT-B, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0456.7
OVSegCLIP arch.=ViT-L/14, Training dataset=COCO Stuff2024.1255.7
OVSegVLM=CLIP ViT-L/14, Additional Backbone=Swin-B, Training dataset=COCO-Stuff+COCO Caption2026.0355.7
OVSegVLM=CLIP ViT-L/14, Backbone=Swin-B, Training Dataset=COCO-Stuff, Additional Dataset=Yes2026.0455.7
CELVLM=CLIP R50, Training dataset=COCO-Stuff2026.0355.6
ODISEVLM=CLIP ViT-L/14, Backbone=Stable Diffusion, Training Dataset=COCO-Panoptic, Additional Dataset=No2026.0455.3
SANVLM=CLIP ViT-B/16, Training dataset=COCO-Stuff2026.0353.8
OVSegVLM=CLIP ViT-B/16, Additional Backbone=ResNet-101c, Training dataset=COCO-Stuff+COCO Caption2026.0353.3
OVSegVLM=CLIP ViT-B/16, Backbone=ResNet-101c, Training Dataset=COCO-Stuff, Additional Dataset=Yes2026.0453.3
SANVLM=CLIP ViT-L/14, Backbone=Side Adapter, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0451.8
Seg4DiffVLM=CLIP ViT-L/14, Backbone=Stable Diffusion, Training Dataset=COCO-Stuff, Additional Dataset=No2026.0451.2
PACLVLM=CLIP ViT-B/16, Training dataset=GCC [50]+YFCC [51]2026.0350.1
OV-StitcherBackbone=ViT-B/16, VLM Source=MetaCLIP2026.0449.1
DeOPVLM=CLIP ViT-B/16, Additional Backbone=ResNet-101c, Training dataset=COCO-Stuff-1562026.0348.8
OV-StitcherBackbone=ViT-B/16, VLM Source=OpenAI CLIP, post-processing=true2026.0448.8
CorrCLIPBackbone=ViT-B/16, VLM Source=MetaCLIP2026.0448.8
OV-StitcherBackbone=ViT-L/14, VLM Source=OpenAI CLIP2026.0448.6
OpenSegVLM=ALIGN, Additional Backbone=Eff-B7 [60], Training dataset=COCO Panoptic [54]+LOc. Narr. [55]2026.0348.2
ZSsegVLM=CLIP ViT-B/16, Additional Backbone=ResNet-101, Training dataset=COCO-Stuff2026.0347.7
CorrCLIPBackbone=ViT-L/14, VLM Source=OpenAI CLIP2026.0447.2
CorrCLIPBackbone=ViT-B/16, VLM Source=OpenAI CLIP, post-processing=true2026.0447.1
OV-StitcherBackbone=ViT-B/16, VLM Source=OpenAI CLIP, post-processing=false2026.0447.1
TridentBackbone=ViT-B/16, VLM Source=MetaCLIP2026.0446.1
MaskCLIPCLIP arch.=ViT-L/14, Training dataset=COCO Panoptic2024.1245.9
DSLO (solve maximum velocity)Logits Model=CLIP ViT-L/142026.0445.3
DSLO (solve maximum velocity)Logits Model=CLIP ViT-B/162026.0444.9
CorrCLIPBackbone=ViT-B/16, VLM Source=OpenAI CLIP, post-processing=false2026.0444.9
DSLO (solve optimal path)Logits Model=CLIP ViT-L/142026.0444.8
DSLO (solve optimal path)Logits Model=CLIP ViT-B/162026.0444.4
FreeDaLogits Model=CLIP ViT-B/16, Paradigm=M.M.2026.0443.1
ZegFormerVLM=CLIP ViT-B/16, Additional Backbone=ResNet-101, Training dataset=COCO-Stuff-1562026.0342.8
TridentBackbone=ViT-B/16, VLM Source=OpenAI CLIP2026.0442.2
TridentBackbone=ViT-L/14, VLM Source=OpenAI CLIP2026.0440.9
ProxyCLIPBackbone=ViT-B/16, VLM Source=MetaCLIP2026.0440.8
SC-CLIPLogits Model=CLIP ViT-L/14, Paradigm=M.M.2026.0440.6
SC-CLIPBackbone=ViT-L/14, VLM Source=OpenAI CLIP2026.0440.6
CASSLogits Model=CLIP ViT-B/16, Paradigm=M.M.2026.0440.2
CASSBackbone=ViT-B/16, VLM Source=OpenAI CLIP2026.0440.2
OpenSegVLM=ALIGN, Additional Backbone=ResNet-101, Training dataset=COCO Panoptic [54]+LOc. Narr. [55]2026.0340.1
SC-CLIPLogits Model=CLIP ViT-B/16, Paradigm=M.M.2026.0440.1
SC-CLIPBackbone=ViT-B/16, VLM Source=OpenAI CLIP2026.0440.1
SFPBackbone=ViT-B/16, VLM Source=OpenAI CLIP2026.0439.9
ProxyCLIP + RAG-OVSVenue=This Paper2025.1239.8
ProxyCLIPVenue=ECCV'242025.1239.1
ProxyCLIPBackbone=ViT-B/16, VLM Source=OpenAI CLIP2026.0439.1
ProxyCLIP‡Logits Model=CLIP ViT-B/16, Paradigm=M.M.2026.0438.8
ProxyCLIPBackbone=ViT-L/14, VLM Source=OpenAI CLIP2026.0437.7
ProxyCLIP‡Logits Model=CLIP ViT-L/14, Paradigm=M.M.2026.0437.3
TIPSv2 L/14Model Scale=L, Patch Size=14, Zero-shot=true2026.0437.1