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ResearchFormerly WizWand

Semantic Segmentation on Pascal Context PC-59 (test)

0.635mIoUCAT-Seg
0.176360.295430.41450.53357Sep 30, 2023Oct 3, 2023Oct 6, 2023Oct 10, 2023Oct 13, 2023Oct 16, 2023Oct 20, 2023
Updated 8mo ago

Evaluation results

MethodLinks
CAT-SegVLM=SILC-C-L/162023.100.635
CAT-SegVLM=CLIP-L/142023.100.62
CAT-SegVLM=CLIP-G/142023.100.615
CAT-SegVLM=SILC-C-B/162023.100.612
CAT-SegVLM=SILC-S-B/162023.100.612
CAT-SegVLM=CLIP-B/162023.100.575
OVSegVLM=CLIP-L/142023.100.557
FreeSeg + MAFTOpen-vocabulary setting=true, Proposal Generator Backbone=ResNet101, CLIP Backbone=ViT-B/16, Module=IP-CLIP Encoder2023.090.535
OVSegOpen-vocabulary setting=true2023.090.533
OVSegVLM=CLIP-B/162023.100.533
ZSsegVLM=CLIP-L/142023.100.522
OpenSegOpen-vocabulary setting=true, Additional training data=true2023.090.482
ZSsegVLM=CLIP-B/162023.100.477
ZegFormerVLM=CLIP-B/162023.100.455
LSeg+Open-vocabulary setting=true2023.090.36
FreeSegOpen-vocabulary setting=true, Proposal Generator Backbone=ResNet101, CLIP Backbone=ViT-B/162023.090.344
SPNetOpen-vocabulary setting=true2023.090.243
ZSSegOpen-vocabulary setting=true, Proposal Generator=MaskFormer2023.090.194