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Models/ConvLSTM

ConvLSTM

Reported on 20 benchmarks across 4 tasks · 3 papers · 17 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision10 results

VideoonMoving MNIST
MAE· 2015-06-13
182.9
best: 41.96 (PredFormer)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
VideoonMoving MNIST
MSE· 2015-06-13
103.3
best: 11.62 (PredFormer)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
VideoonMoving MNIST
SSIM· 2015-06-13
0.707
best: 0.975 (MSPred)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
VideoonKTH
Cond· 2015-06-13
10
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
VideoonKTH
LPIPS· 2015-06-13
0.231
best: 0.029 (MSPred)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
VideoonKTH
PSNR· 2015-06-13
23.58
best: 29.85 (WAM)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
VideoonKTH
Pred· 2015-06-13
20
best: 40 (Grid-keypoints)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
VideoonKTH
SSIM· 2015-06-13
0.712
best: 0.951 (MSPred)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
VideoonMoB
Accuracy· 2023-05-24
69.71
best: 77.85 (VTN)
Malicious or Benign? Towards Effective Content Moderation for Children's Videos arXiv:2305.15551
Video ClassificationonMoB
Accuracy· 2023-05-24
69.71
best: 77.85 (VTN)
Malicious or Benign? Towards Effective Content Moderation for Children's Videos arXiv:2305.15551

Time Series8 results

Video PredictiononMoving MNIST
MAE· 2015-06-13
182.9
best: 41.96 (PredFormer)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
Video PredictiononMoving MNIST
MSE· 2015-06-13
103.3
best: 11.62 (PredFormer)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
Video PredictiononMoving MNIST
SSIM· 2015-06-13
0.707
best: 0.975 (MSPred)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
Video PredictiononKTH
Cond· 2015-06-13
10
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
Video PredictiononKTH
LPIPS· 2015-06-13
0.231
best: 0.029 (MSPred)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
Video PredictiononKTH
PSNR· 2015-06-13
23.58
best: 29.85 (WAM)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
Video PredictiononKTH
Pred· 2015-06-13
20
best: 40 (Grid-keypoints)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214
Video PredictiononKTH
SSIM· 2015-06-13
0.712
best: 0.951 (MSPred)
SOTA
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting arXiv:1506.04214

Miscellaneous2 results

Weather ForecastingonSEVIR
MSE· 2022-07-12
3.7532
best: 2.9371 (IAM4VP)
SOTA
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting arXiv:2207.05833
Weather ForecastingonSEVIR
mCSI· 2022-07-12
0.4185
best: 0.4607 (IAM4VP)
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting arXiv:2207.05833