Zero-Shot Learning on CUB (unseen)
77.4Top-1 AccuracySTHS-WGAN
Evaluation Results
| Method | Links | |
|---|---|---|
| STHS-WGANLearning Setting=Transductive2021.06 | 77.4 | |
| SDGNLearning Setting=Transductive2021.06 | 74.9 | |
| TF-VAEGANLearning Setting=Transductive2021.06 | 74.7 | |
| SABR-TLearning Setting=Transductive2021.06 | 74 | |
| QFSLLearning Setting=Inductive2021.06 | 72.1 | |
| STHS-S2VLearning Setting=Transductive2021.06 | 71.2 | |
| f-VAEGAN-D2Learning Setting=Transductive2021.06 | 71.1 | |
| VSCLearning Setting=Transductive2021.06 | 71 | |
| PRENLearning Setting=Transductive2021.06 | 66.4 | |
| GMNLearning Setting=Inductive2021.06 | 64.6 | |
| DE-VAELearning Setting=Inductive2021.06 | 63.1 | |
| GXELearning Setting=Transductive2021.06 | 61.3 | |
| OCD-GZSLLearning Setting=Inductive2021.06 | 60.3 | |
| LsrGANLearning Setting=Inductive2021.06 | 60.3 | |
| TCNLearning Setting=Inductive2021.06 | 59.5 | |
| LIGANLearning Setting=Inductive2021.06 | 58.8 | |
| cycle-(U)WGANprotocol=ZSL2018.08 | 58.6 | |
| ABPLearning Setting=Inductive2021.06 | 58.5 | |
| cycle-CLSWGANprotocol=ZSL2018.08 | 58.4 | |
| cycle-WGANprotocol=ZSL2018.08 | 57.8 | |
| APNetLearning Setting=Inductive2021.06 | 57.7 | |
| f-CLSWGAN (baseline)protocol=ZSL2018.08 | 57.7 | |
| f-CLSWGANLearning Setting=Inductive2021.06 | 57.3 | |
| ALEprotocol=ZSL2018.08 | 54.9 | |
| ALE-tranLearning Setting=Inductive2021.06 | 54.5 | |
| SJEprotocol=ZSL2018.08 | 53.9 | |
| ESZSLprotocol=ZSL2018.08 | 53.9 | |
| DEVISELearning Setting=Inductive2021.06 | 52 | |
| DEVISEprotocol=ZSL2018.08 | 52 | |
| DEMLearning Setting=Inductive2021.06 | 51.7 | |
| GFZSLLearning Setting=Inductive2021.06 | 50 | |
| LATEMLearning Setting=Inductive2021.06 | 49.3 | |
| LATEMprotocol=ZSL2018.08 | 49.3 | |
| DSRLLearning Setting=Inductive2021.06 | 48.7 | |
| VGSE-SMOZSL Model=f-VAEGAN-D2, Semantic Embeddings=VGSE-SMO (Ours), Model Category=Generative2022.03 | 35 | |
| GAZSLExternal knowledge=T (online textual articles), ZSL model=f-VAEGAN-d2 [61]2022.03 | 34.4 | |
| SAELearning Setting=Inductive2021.06 | 33.3 | |
| f-VAEGAN-D2ZSL Model=f-VAEGAN-D2, Semantic Embeddings=w2v, Model Category=Generative2022.03 | 32.7 | |
| w2vExternal knowledge=w2v, ZSL model=f-VAEGAN-d2 [61]2022.03 | 32.7 | |
| CAAPExternal knowledge=T (online textual articles) and H (human annotation), ZSL model=f-VAEGAN-d2 [61]2022.03 | 31.9 | |
| VGSE-SMOZSL Model=GEM-ZSL, Semantic Embeddings=VGSE-SMO (Ours), Model Category=Non-Generative2022.03 | 29.1 | |
| VGSE-SMOZSL Model=APN, Semantic Embeddings=VGSE-SMO (Ours), Model Category=Non-Generative2022.03 | 28.9 | |
| ZSLNSExternal knowledge=T (online textual articles), ZSL model=f-VAEGAN-d2 [61]2022.03 | 27.8 | |
| VGSE-SMOZSL Model=SJE, Semantic Embeddings=VGSE-SMO (Ours), Model Category=Non-Generative2022.03 | 26.1 | |
| GEM-ZSLZSL Model=GEM-ZSL, Semantic Embeddings=w2v, Model Category=Non-Generative2022.03 | 25.7 | |
| VGSE-SMOZSL Model=CADA-VAE, Semantic Embeddings=VGSE-SMO (Ours), Model Category=Generative2022.03 | 24.8 | |
| APNZSL Model=APN, Semantic Embeddings=w2v, Model Category=Non-Generative2022.03 | 22.7 | |
| CADA-VAEZSL Model=CADA-VAE, Semantic Embeddings=w2v, Model Category=Generative2022.03 | 22.5 | |
| SJEZSL Model=SJE, Semantic Embeddings=w2v, Model Category=Non-Generative2022.03 | 14.4 |