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Classification on MSLR-WEB30K (test)

69.62AccuracyPiNDA
32.346442.023251.761.3768Aug 19, 2024

Evaluation results

MethodLinks
PiNDAEvaluation Protocol=kNN, mu=02024.0869.62
PiNDAEvaluation Protocol=kNN, mu=learnable2024.0869.6
PiNDA + CLAEEvaluation Protocol=kNN, mu=learnable2024.0868.66
PiNDA + CLAEEvaluation Protocol=kNN, mu=02024.0868.29
CLAEEvaluation Protocol=kNN2024.0867.99
SimCLEvaluation Protocol=kNN2024.0864.21
Random NoiseEvaluation Protocol=kNN2024.0857.88
PiNDA + CLAEEvaluation Protocol=Softmax Regression (SR), mu=02024.0852.18
PiNDA + CLAEEvaluation Protocol=Softmax Regression (SR), mu=learnable2024.0851.79
CLAEEvaluation Protocol=Softmax Regression (SR)2024.0851.54
PiNDAEvaluation Protocol=Softmax Regression (SR), mu=learnable2024.0850.95
PiNDAEvaluation Protocol=Softmax Regression (SR), mu=02024.0849.55
SimCLEvaluation Protocol=Softmax Regression (SR)2024.0847.13
Random NoiseEvaluation Protocol=Softmax Regression (SR)2024.0833.78