Image Classification on Tiny-ImageNet Dir(beta) (test)
80.24Accuracy (beta=0.5)FedAvg (CoOp) + GGTPC
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| FedAvg (CoOp) + GGTPCBackbone=CoOp, Evaluation Protocol=Federated Learning, Module=GGTPC2025.12 | 80.24 | 79.93 | 79.26 | |
| FedAvg (CoOp)Backbone=CoOp, Evaluation Protocol=Federated Learning2025.12 | 76.84 | 75.42 | 73.69 | |
| FedVPTEvaluation Protocol=Federated Learning2025.12 | 75.91 | 75.67 | 74.3 | |
| PromptFLEvaluation Protocol=Federated Learning2025.12 | 72.66 | 71.51 | 67.85 | |
| FedPREvaluation Protocol=Federated Learning2025.12 | 72.59 | 72.22 | 70.8 | |
| FedCLIPEvaluation Protocol=Federated Learning2025.12 | 70.41 | 70.37 | 69.5 | |
| FedTPGEvaluation Protocol=Federated Learning2025.12 | 67.63 | 66.72 | 64.71 | |
| Zero-shot CLIPEvaluation Protocol=Zero-shot2025.12 | 63.67 | 63.67 | 63.67 |