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Lip Reading on Tulips1 (test)

0Model ParamsRAW
-40.08230.46501771.54Apr 11, 2023

Evaluation results

MethodLinks
RAWNumber of CNN Layers=0, RNN Architecture=None2023.040—57.45—1.51,048,576
Difference CameraNumber of CNN Layers=0, RNN Architecture=None2023.04030—0.25—65,536
Event Camera*Number of CNN Layers=0, RNN Architecture=None2023.04050—0.25—65,536
1 CNN + SRNNNumber of CNN Layers=1, RNN Architecture=SRNN2023.0445150902.38764,096
1 CNN + MGUNumber of CNN Layers=1, RNN Architecture=MGU2023.0450170802.63844,096
1 CNN + PixelRNNNumber of CNN Layers=1, RNN Architecture=PixelRNN2023.04501801002.75884,096
1 CNN + GRUNumber of CNN Layers=1, RNN Architecture=GRU2023.0455160802.88924,096
1 CNN + genRNN (0,1)Number of CNN Layers=1, RNN Architecture=genRNN, Regime=(0,1)2023.0455360803964,096
1 CNN + genRNN (-1,1)Number of CNN Layers=1, RNN Architecture=genRNN, Regime=(-1,1)2023.0455380803964,096
1 CNN + LSTMNumber of CNN Layers=1, RNN Architecture=LSTM2023.0460150903.381084,096
2 CNN + SRNNNumber of CNN Layers=2, RNN Architecture=SRNN2023.04852601004.381404,096
2 CNN + MGUNumber of CNN Layers=2, RNN Architecture=MGU2023.0490260904.631484,096
2 CNN + PixelRNNNumber of CNN Layers=2, RNN Architecture=PixelRNN2023.04902701004.751524,096
2 CNN + GRUNumber of CNN Layers=2, RNN Architecture=GRU2023.04952701004.881564,096
2 CNN + genRNN (0,1)Number of CNN Layers=2, RNN Architecture=genRNN, Regime=(0,1)2023.04954609051604,096
2 CNN + genRNN (-1,1)Number of CNN Layers=2, RNN Architecture=genRNN, Regime=(-1,1)2023.04954609051604,096
2 CNN + LSTMNumber of CNN Layers=2, RNN Architecture=LSTM2023.041,002501005.381724,096