Image Classification on Target Classes Forget Set (test)
97.1BFLip
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| LipModel=ViT-B/16, Source Dataset=Caltech101, Target Classes=euphonium, minaret, platypus2025.12 | 97.1 | 49.8 | |
| ZSL-CLIPModel=ViT-B/16, Source Dataset=Caltech101, Target Classes=euphonium, minaret, platypus2025.12 | 96.2 | 0 | |
| CCUPModel=ViT-32, Source Dataset=Caltech101, Target Classes=euphonium, minaret, platypus2025.12 | 95.8 | 0 | |
| CCUPModel=ViT-16, Source Dataset=Caltech101, Target Classes=euphonium, minaret, platypus2025.12 | 95.8 | 0 | |
| LipModel=RN50, Source Dataset=OxfordFlowers, Target Classes=gazania, tree mallow, trumpet creeper2025.12 | 86 | 0 | |
| ZSL-CLIPModel=RN50, Source Dataset=OxfordFlowers, Target Classes=trumpet creeper, gazania, tree mallow2025.12 | 86 | 0 | |
| CCUPModel=ViT-32, Source Dataset=OxfordFlowers, Target Classes=trumpet creeper, gazania, tree mallow2025.12 | 84.2 | 0 | |
| LipModel=RN50, Source Dataset=Caltech101, Target Classes=euphonium, minaret, platypus2025.12 | 82.7 | 12.5 | |
| ZSL-CLIPModel=RN50, Source Dataset=Caltech101, Target Classes=euphonium, minaret, platypus2025.12 | 82.7 | 0 | |
| CCUPModel=ViT-16, Source Dataset=OxfordFlowers, Target Classes=trumpet creeper, gazania, tree mallow2025.12 | 82.1 | 0 | |
| LipModel=ViT-B/16, Source Dataset=OxfordFlowers, Target Classes=trumpet creeper, gazania, tree mallow2025.12 | 80.7 | 31 | |
| ZSL-CLIPModel=ViT-B/16, Source Dataset=OxfordFlowers, Target Classes=trumpet creeper, gazania, tree mallow2025.12 | 80.7 | 0 | |
| CCUPModel=ViT-32, Source Dataset=StanfordDogs, Target Classes=Pekinese, toy poodle, Scotch terrier2025.12 | 70.8 | 0 | |
| CCUPModel=ViT-16, Source Dataset=StanfordDogs, Target Classes=Pekinese, toy poodle, Scotch terrier2025.12 | 69.5 | 0 | |
| LipModel=ViT-B/16, Source Dataset=StanfordDogs, Target Classes=Pekinese, toy poodle, Scotch terrier2025.12 | 67.2 | 25.1 | |
| ZSL-CLIPModel=ViT-B/16, Source Dataset=StanfordDogs, Target Classes=Pekinese, toy poodle, Scotch terrier2025.12 | 67.2 | 0 | |
| CCUPModel=ViT-32, Source Dataset=StanfordCars, Target Classes=2009 Spyker C8 Coupe, 2010 Dodge Ram Pickup 3500 Crew Cab, 2011 Ford Ranger SuperCab2025.12 | 60.9 | 0.17 | |
| CCUPModel=ViT-16, Source Dataset=StanfordCars, Target Classes=2009 Spyker C8 Coupe, 2010 Dodge Ram Pickup 3500 Crew Cab, 2011 Ford Ranger SuperCab2025.12 | 60.2 | 0.3 | |
| LipModel=ViT-B/16, Source Dataset=StanfordCars, Target Classes=2009 Spyker C8 Coupe, 2010 Dodge Ram Pickup 3500 Crew Cab, 2011 Ford Ranger SuperCab2025.12 | 59.5 | 30 | |
| ZSL-CLIPModel=ViT-B/16, Source Dataset=StanfordCars, Target Classes=2009 Spyker C8 Coupe, 2010 Dodge Ram Pickup 3500 Crew Cab, 2011 Ford Ranger SuperCab2025.12 | 59.5 | 0 | |
| LipModel=RN50, Source Dataset=StanfordDogs, Target Classes=Pekinese, toy poodle, Scotch terrier2025.12 | 59.1 | 9.1 | |
| ZSL-CLIPModel=RN50, Source Dataset=StanfordDogs, Target Classes=Pekinese, toy poodle, Scotch terrier2025.12 | 59.1 | 0 | |
| LipModel=RN50, Source Dataset=StanfordCars, Target Classes=2009 Spyker C8 Coupe, 2010 Dodge Ram Pickup 3500 Crew Cab, 2011 Ford Ranger SuperCab2025.12 | 39.7 | 22.2 | |
| ZSL-CLIPModel=RN50, Source Dataset=StanfordCars, Target Classes=2009 Spyker C8 Coupe, 2010 Dodge Ram Pickup 3500 Crew Cab, 2011 Ford Ranger SuperCab2025.12 | 39.7 | 0 |