Image Classification on Flowers102 (test)
99.6619AccuracyCOLIN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| COLINBackbone=Swin-L2026.02 | 99.6619 | — | 99.8816 | |
| PARTIAL-1Backbone=Swin-L2026.02 | 99.6585 | — | 99.8374 | |
| ADAPTERBackbone=Swin-L2026.02 | 99.5934 | — | 99.8536 | |
| FULLBackbone=Swin-L2026.02 | 99.5772 | — | 99.8536 | |
| BITFITBackbone=Swin-L2026.02 | 99.5772 | — | 99.8211 | |
| LORANDBackbone=Swin-L2026.02 | 99.5725 | — | 99.8536 | |
| ADAPTFORMERBackbone=Swin-L2026.02 | 99.5609 | — | 99.8536 | |
| LORABackbone=Swin-L2026.02 | 99.5446 | — | 99.8536 | |
| NORMTUNINGBackbone=Swin-L2026.02 | 99.5284 | — | 99.8374 | |
| SDFedBackbone=ViT-B162026.02 | 99.35 | — | — | |
| FIXEDBackbone=Swin-L2026.02 | 99.3007 | — | 99.8374 | |
| DoRABackbone=ViT-B, r=82024.05 | 99.3 | — | — | |
| SVFTBackbone=ViT-B, Variant=SVFT-P, d=22024.05 | 99.28 | — | — | |
| LoRABackbone=ViT-B, r=82024.05 | 99.23 | — | — | |
| DeepTaxonCategory=w/ Retrieval2026.04 | 99.17 | — | — | |
| DoRABackbone=ViT-B, r=12024.05 | 99.15 | — | — | |
| SVFTBackbone=ViT-B, Variant=SVFT-P2024.05 | 98.93 | — | — | |
| SVFTBackbone=ViT-B, Variant=SVFT-B, d=82024.05 | 98.88 | — | — | |
| UOPPBackbone=ViT-B162026.02 | 98.62 | — | — | |
| BOFTBackbone=ViT-B, m=4, r=42024.05 | 98.59 | — | — | |
| VeRABackbone=ViT-B, r=2562024.05 | 98.59 | — | — | |
| HeadBackbone=ViT-B2024.05 | 98.42 | — | — | |
| Full-FTBackbone=ViT-B2024.05 | 98.37 | — | — | |
| GPT-FLBackbone=ViT-B162026.02 | 98.27 | — | — | |
| PromptSRCmode=base-to-novel generalization2023.06 | 98.07 | — | — | |
| CoOpmode=base-to-novel generalization2023.06 | 97.6 | — | — | |
| FedOTPBackbone=ViT-B162026.02 | 97.51 | — | — | |
| CoPromptmode=base-to-novel generalization2023.06 | 97.27 | — | — | |
| LoRABackbone=ViT-B, r=12024.05 | 96.88 | — | — | |
| SDFedBackbone=ResNet502026.02 | 96.84 | — | — | |
| MaPLemode=base-to-novel generalization2023.06 | 95.92 | — | — | |
| ProGradmode=base-to-novel generalization2023.06 | 95.54 | — | — | |
| UOPPBackbone=ResNet502026.02 | 95.21 | — | — | |
| KgCoOpmode=base-to-novel generalization2023.06 | 95 | — | — | |
| Co-CoOpmode=base-to-novel generalization2023.06 | 94.87 | — | — | |
| GPT-FLBackbone=ResNet502026.02 | 94.15 | — | — | |
| Calibration w/ ADAMAB# Params=+0.664M, Setting=Zero-shot, Backbone=CLIP-ViT-Large2026.02 | 93.17 | — | — | |
| PowderBackbone=ViT-B162026.02 | 92.46 | — | — | |
| FedOTPBackbone=ResNet502026.02 | 92.34 | — | — | |
| Calibration w/ ADAMAB# Params=+1.180M, Setting=Zero-shot, Backbone=Voyage-multimodal-32026.02 | 92.33 | — | — | |
| Calibration w/ only init set# Params=+0.664M, Setting=Zero-shot, Backbone=CLIP-ViT-Large2026.02 | 90.61 | — | — | |
| Calibration w/ random aug.# Params=+0.664M, Setting=Zero-shot, Backbone=CLIP-ViT-Large2026.02 | 90.26 | — | — | |
| Calibration w/ random aug.# Params=+1.180M, Setting=Zero-shot, Backbone=Voyage-multimodal-32026.02 | 89.7 | — | — | |
| PowderBackbone=ResNet502026.02 | 88.12 | — | — | |
| APArchitecture=CLIP (ViT-B/32)2026.04 | 85.52 | — | — | |
| Gemini2.0-Flash-Lite# Params=n/a, Setting=Zero-shot2026.02 | 85.38 | — | — | |
| APArchitecture=Swin-Transformer (Swin-B)2026.04 | 84.98 | — | — | |
| VPArchitecture=Swin-Transformer (Swin-B)2026.04 | 84.48 | — | — | |
| HEART-PFLalpha=0.52026.03 | 84.23 | — | — | |
| HEART-PFLalpha=0.12026.03 | 84.07 | — | — | |
| VPArchitecture=CLIP (ViT-B/32)2026.04 | 83.74 | — | — | |
| HEART-PFLalpha=0.32026.03 | 83.68 | — | — | |
| CoOpBackbone=ViT-B162026.02 | 83.23 | — | — | |
| Calibration w/ only init set# Params=+1.180M, Setting=Zero-shot, Backbone=Voyage-multimodal-32026.02 | 82.69 | — | — | |
| PerAdaalpha=0.32026.03 | 81.55 | — | — | |
| PerAdaalpha=0.52026.03 | 81.55 | — | — | |
| FedPeralpha=0.12026.03 | 81.31 | — | — | |
| PerAdaalpha=0.12026.03 | 80.83 | — | — | |
| CoOpBackbone=ResNet502026.02 | 78.45 | — | — | |
| FedProto-peralpha=0.12026.03 | 76.87 | — | — | |
| LG-FedAvgalpha=0.12026.03 | 76.51 | — | — | |
| PromptFolionum_prompts=8, alpha=0.32024.09 | 74.61 | — | — | |
| PromptFLnum_prompts=8, alpha=0.32024.09 | 74.47 | — | — | |
| PromptFL+FedProxnum_prompts=8, alpha=0.3, federated_optimizer=FedProx2024.09 | 74.27 | — | — | |
| FedPeralpha=0.32026.03 | 73.96 | — | — | |
| FedBABUalpha=0.52026.03 | 73.66 | — | — | |
| FedProx-peralpha=0.52026.03 | 73.5 | — | — | |
| FedBABUalpha=0.32026.03 | 73.3 | — | — | |
| Dittoalpha=0.52026.03 | 73.24 | — | — | |
| FedProx-peralpha=0.32026.03 | 72.97 | — | — | |
| Dittoalpha=0.32026.03 | 72.92 | — | — | |
| FedTPGnum_prompts=8, alpha=0.32024.09 | 72.91 | — | — | |
| FedAvg-peralpha=0.52026.03 | 72.77 | — | — | |
| FedAvg-peralpha=0.32026.03 | 72.68 | — | — | |
| FedALAalpha=0.52026.03 | 72.64 | — | — | |
| CLIPzero-shot=true2023.06 | 72.08 | — | — | |
| FedPeralpha=0.52026.03 | 72.08 | — | — | |
| FedALAalpha=0.32026.03 | 72.05 | — | — | |
| Dittoalpha=0.12026.03 | 71.81 | — | — | |
| PromptFL+FedPernum_prompts=8, alpha=0.3, federated_strategy=FedPer2024.09 | 71.71 | — | — | |
| GPT-4o-mini# Params=n/a, Setting=Zero-shot2026.02 | 71.05 | — | — | |
| PromptFL+FedAMPnum_prompts=8, alpha=0.3, federated_strategy=FedAMP2024.09 | 70.8 | — | — | |
| OTTERBackbone=ViT-B/16, Setting=Zero-shot2024.04 | 70.8 | — | — | |
| PromptFL+FTnum_prompts=8, alpha=0.3, tuning=fine-tuning2024.09 | 69.05 | — | — | |
| CoOpnum_prompts=8, alpha=0.32024.09 | 69.03 | — | — | |
| Prototypical CurriculumShot=5-shot, Protocol=linear probing, Training epochs=4002024.11 | 68.99 | — | — | |
| FedALAalpha=0.12026.03 | 68.63 | — | — | |
| FedBABUalpha=0.12026.03 | 68.37 | — | — | |
| FedAvg-peralpha=0.12026.03 | 68.11 | — | — | |
| FedProx-peralpha=0.12026.03 | 68.05 | — | — | |
| Llama-3.2# Params=90B, Setting=Zero-shot2026.02 | 67.94 | — | — | |
| BaselineShot=5-shot, Protocol=linear probing, Training epochs=16002024.11 | 64.48 | — | — | |
| Prototypical CurriculumShot=5-shot, Protocol=linear probing, Training epochs=2002024.11 | 64.13 | — | — | |
| Zero-shotBackbone=ViT-B/16, Setting=Zero-shot2024.04 | 64 | — | — | |
| FedProto-peralpha=0.32026.03 | 63.06 | — | — | |
| LG-FedAvgalpha=0.32026.03 | 61.63 | — | — | |
| CLIP-ViT-Large# Params=0.4B, Setting=Zero-shot2026.02 | 60.99 | — | — | |
| FedProto-peralpha=0.52026.03 | 57.29 | — | — | |
| Jina-reranker-m0# Params=2.4B, Setting=Zero-shot2026.02 | 56.6 | — | — | |
| LG-FedAvgalpha=0.52026.03 | 55.41 | — | — |