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Semantic Segmentation on Pascal VOC (Seen/Unseen Evaluation)

93.6Seen mIoUPOMP
56.57666.18875.885.412Jun 3, 2019Jul 26, 2020Sep 18, 2021Nov 11, 2022Jan 4, 2024Feb 26, 2025Apr 22, 2026

Evaluation results

MethodLinks
POMPmode=open-vocabulary2023.0493.6————76.8———84.4
MVP-SEG+Learning Setting=Transductive, ST (Self-Training)=true2023.0489————87.4——88.688.2
MaskCLIP+Learning Setting=Transductive, ST (Self-Training)=false2023.0488.1————86.1——87.486.7
ZegFormerLearning Setting=Inductive, ST (Self-Training)=false2023.0486.4————63.6———73.3
ZegFormermode=open-vocabulary2023.0486.4————63.6———73.3
FCNsetting=zero-shot, Self-Training=false2021.1285.5————36———50.7
ZSSegsetting=zero-shot, Self-Training=false2021.1283.5————72.5———77.5
SIGNLearning Setting=Transductive, ST (Self-Training)=true2023.0483.5————41.3———55.3
ZSSegmode=open-vocabulary2023.0483.5————72.5———77.5
SIGNBackbone=Deeplab-v2, Embeddings=word2vec/fasttext, Self-training=false, Annealed Self-training=true2021.0883.49————41.29———55.26
STRICTsetting=zero-shot, Self-Training=false2021.1282.7————35.6———49.8
STRICTLearning Setting=Transductive, ST (Self-Training)=false2023.0482.7————35.6——70.949.8
ZSSeg+STsetting=zero-shot, Self-Training=true2021.1279.2————78.1———79.3
SIGNBackbone=Deeplab-v2, Embeddings=word2vec/fasttext, Self-training=true, Annealed Self-training=false2021.0878.62————33.12———46.61
CaGNet+STsetting=zero-shot, Self-Training=true2021.1278.6————30.3———43.7
CaGNetLearning Setting=Transductive, ST (Self-Training)=true2023.0478.6————30.3——65.843.7
CaGNetZero-shot protocol=true, Backbone=DeepLabv2, Self-training (ST)=true, Calibration=false2020.0878.5987.0483.958.5550.7130.3181.6475.665.7743.66
CaGNetBackbone=Deeplab-v2, Embeddings=word2vec/fasttext, Self-training=true, Annealed Self-training=false2021.0878.59————30.31———43.66
CaGNetZero-shot protocol=true, Backbone=DeepLabv2, Self-training (ST)=false, Calibration=false2020.0878.489.588.6842.9739.426.5980.6876.3665.4539.72
CaGNetsetting=zero-shot, Self-Training=false2021.1278.4————25.6———39.7
CaGNetLearning Setting=Inductive, ST (Self-Training)=false2023.0478.4————26.6——65.539.7
CaGNetmode=open-vocabulary2023.0478.4————25.6———39.7
CaGNetBackbone=Deeplab-v2, Embeddings=word2vec/fasttext, Self-training=false, Annealed Self-training=false2021.0878.4————26.59———39.72
ZS3NetZero-shot protocol=true, Backbone=DeepLabv2, Self-training (ST)=true, Calibration=false2020.0878.0291.8985.6934.0726.3721.1580.9573.8263.0233.28
ZS3Backbone=Deeplab-v2, Embeddings=word2vec/fasttext, Self-training=true, Annealed Self-training=false2021.0878.02————21.15———33.28
SPNetZero-shot protocol=true, Backbone=DeepLabv2, Self-training (ST)=false, Calibration=true2020.087888.7787.9129.5523.8715.6377.5571.8863.1526.1
ZS5setting=zero-shot, Self-Training=false2021.1278————21.2———33.3
SPNetLearning Setting=Inductive, ST (Self-Training)=false2023.0478————15.6——63.226.1
ZS3NetLearning Setting=Transductive, ST (Self-Training)=true2023.0478————21.2——6333.3
SPNetBackbone=Deeplab-v2, Embeddings=word2vec/fasttext, Self-training=false, Annealed Self-training=false2021.0878————15.63———26.1
SPNet+STsetting=zero-shot, Self-Training=true2021.1277.8————25.8———38.8
SPNetLearning Setting=Transductive, ST (Self-Training)=true2023.0477.8————25.8——64.838.8
JointLearning Setting=Inductive, ST (Self-Training)=false2023.0477.7————————45.9
ZS3NetZero-shot protocol=true, Backbone=DeepLabv2, Self-training (ST)=false, Calibration=false2020.0877.392.9687.7221.4715.817.6579.4173.4961.6428.74
ZS3setting=zero-shot, Self-Training=false2021.1277.3————17.7———28.7
ZS3NetLearning Setting=Inductive, ST (Self-Training)=false2023.0477.3————17.7——61.628.7
ZS3mode=open-vocabulary2023.0477.3————17.7———28.7
ZS3Backbone=Deeplab-v2, Embeddings=word2vec/fasttext, Self-training=false, Annealed Self-training=false2021.0877.3————17.65———28.74
SPNetZero-shot protocol=true, Backbone=DeepLabv2, Self-training (ST)=false, Calibration=false2020.0875.8394.8294.580.070.010.0176.8570.9356.870.02
ZS5NetK (Number of unseen classes)=2, Self-training=true, Zero-shot=true2019.0675.794.385.289.589.975.894.285.975.875.7
SIGNLearning Setting=Inductive, ST (Self-Training)=false2023.0475.4————28.9———41.7
SIGNBackbone=Deeplab-v2, Embeddings=word2vec/fasttext, Self-training=false, Annealed Self-training=false2021.0875.4————28.86———41.74
ZS5NetK (Number of unseen classes)=4, Self-training=true, Zero-shot=true2019.067493.984.857.562.95392.480.969.861.8
SPNetsetting=zero-shot, Self-Training=false2021.1273.3————15———25.1
SPNetmode=open-vocabulary2023.0473.3————15———21.8
ZS5NetK (Number of unseen classes)=10, Self-training=true, Zero-shot=true2019.0672.390.183.957.84834.586.866.954.446.7
ZS5NetK (Number of unseen classes)=6, Self-training=true, Zero-shot=true2019.0671.293.88268.361.253.192.175.866.160.8
ZS5NetK (Number of unseen classes)=8, Self-training=true, Zero-shot=true2019.0668.392.677.868.2625090.271.961.357.7
CLIPSegMechanism=CLIP text prompts + decoder, Notes=Requires prompts per class2026.0458————20————
CaGNetinference_mode=inductive2021.12—89.588.74339.4—80.776.4——
CaGNetinference_mode=transductive2021.12—8783.958.650.7—81.675.6——
Fully SupST (Self-Training)=false2023.04————————88.2—
Fully Sup.supervision=fully supervised2021.12——————9493.4——
MaskCLIP+inference_mode=transductive2021.12—94.693.791.492.6—9493.4——
SPNetinference_mode=inductive2021.12—94.894.600—76.970.9——
SPNet-Cinference_mode=inductive2021.12—88.887.929.623.9—77.671.9——
ZS3Netinference_mode=inductive2021.12—9387.721.515.8—79.473.5——
ZS3Netinference_mode=transductive2021.12—91.985.734.126.4—8173.8——