Classification on MSLR-WEB30K (test)
69.62AccuracyPiNDA
Evaluation Results
| Method | Links | |
|---|---|---|
| PiNDAEvaluation Protocol=kNN, mu=02024.08 | 69.62 | |
| PiNDAEvaluation Protocol=kNN, mu=learnable2024.08 | 69.6 | |
| PiNDA + CLAEEvaluation Protocol=kNN, mu=learnable2024.08 | 68.66 | |
| PiNDA + CLAEEvaluation Protocol=kNN, mu=02024.08 | 68.29 | |
| CLAEEvaluation Protocol=kNN2024.08 | 67.99 | |
| SimCLEvaluation Protocol=kNN2024.08 | 64.21 | |
| Random NoiseEvaluation Protocol=kNN2024.08 | 57.88 | |
| PiNDA + CLAEEvaluation Protocol=Softmax Regression (SR), mu=02024.08 | 52.18 | |
| PiNDA + CLAEEvaluation Protocol=Softmax Regression (SR), mu=learnable2024.08 | 51.79 | |
| CLAEEvaluation Protocol=Softmax Regression (SR)2024.08 | 51.54 | |
| PiNDAEvaluation Protocol=Softmax Regression (SR), mu=learnable2024.08 | 50.95 | |
| PiNDAEvaluation Protocol=Softmax Regression (SR), mu=02024.08 | 49.55 | |
| SimCLEvaluation Protocol=Softmax Regression (SR)2024.08 | 47.13 | |
| Random NoiseEvaluation Protocol=Softmax Regression (SR)2024.08 | 33.78 |