List your company
ResearchFormerly WizWand

Semantic Segmentation on Pascal VOC VOC-20 (test)

98.5mIoUDPSeg
45.35659.15372.9586.747Oct 20, 2023Jan 23, 2024Apr 28, 2024Aug 2, 2024Nov 5, 2024Feb 9, 2025May 16, 2025
Updated 8mo ago

Evaluation results

MethodLinks
DPSegVLM=ConvNeXt-L, Inference Mode=II, Training Dataset=COCO-Stuff2025.0598.5
CAT-SegVLM=SILC-C-L/162023.1097.6
DPSegVLM=ConvNeXt-L, Inference Mode=I, Training Dataset=COCO-Stuff2025.0597.4
SCANVLM=ViT-L/14, Backbone=Swin-B, Training Dataset=COCO-Stuff2025.0597.2
CAT-SegVLM=CLIP-G/142023.1097.1
SCANVLM=ViT-B/16, Backbone=Swin-B, Training Dataset=COCO-Stuff2025.0597
DPSegVLM=ConvNeXt-B, Inference Mode=II, Training Dataset=COCO-Stuff2025.0596.9
CAT-SegVLM=CLIP-L/142023.1096.6
CAT-SegVLM=ViT-L/14, Backbone=Swin-B, Training Dataset=COCO-Stuff2025.0596.6
EBSegVLM=ViT-L/14, Training Dataset=COCO-Stuff2025.0596.4
CAT-SegVLM=SILC-S-B/162023.1096.1
SEDVLM=ConvNeXt-L, Training Dataset=COCO-Stuff2025.0596.1
DPSegVLM=ConvNeXt-B, Inference Mode=I, Training Dataset=COCO-Stuff2025.0596
CAT-SegVLM=SILC-C-B/162023.1095.9
SANVLM=ViT-L/14, Training Dataset=COCO-Stuff2025.0595.5
FC-CLIPVLM=ConvNeXt-L, Training Dataset=COCO Panoptic [20]2025.0595.4
EBSegVLM=ViT-B/16, Training Dataset=COCO-Stuff2025.0594.6
OVSegVLM=CLIP-L/142023.1094.5
OVSegVLM=ViT-L/14, Backbone=Swin-B, Training Dataset=COCO-Stuff+COCO Caption2025.0594.5
SEDVLM=ConvNeXt-B, Training Dataset=COCO-Stuff2025.0594.4
SANVLM=ViT-B/16, Training Dataset=COCO-Stuff2025.0594
CAT-SegVLM=CLIP-B/162023.1093.7
CAT-SegVLM=ViT-B/16, Backbone=ResNet-101, Training Dataset=COCO-Stuff2025.0593.7
OVSegVLM=CLIP-B/162023.1092.6
OVSegVLM=ViT-B/16, Backbone=ResNet-101c, Training Dataset=COCO-Stuff+COCO Caption2025.0592.6
ZSsegVLM=CLIP-L/142023.1092.3
ZegFormerVLM=CLIP-B/162023.1089.5
ZegFormerVLM=ViT-B/16, Backbone=ResNet-101, Training Dataset=COCO-Stuff2025.0589.5
ZSsegVLM=CLIP-B/162023.1088.4
SimSegVLM=ViT-B/16, Backbone=ResNet-101, Training Dataset=COCO-Stuff2025.0588.4
Han et al.VLM=ViT-B/16, Backbone=ResNet-101, Training Dataset=COCO Panoptic [20]2025.0583.2
PACLVLM=ViT-B/16, Training Dataset=GCC [41] + YFCC[45]2025.0572.3
LSegVLM=ViT-B/32, Backbone=ViT-L/16, Training Dataset=PASCAL VOC-152025.0552.3
LSegVLM=ViT-B/32, Backbone=ResNet-101, Training Dataset=PASCAL VOC-152025.0547.4