Time Series Classification on CharacterTrajectories

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	MALSTM-FCN	1	No	Multivariate LSTM-FCNs for Time Series Classific...	2018-01-14	Code
2	FCN-SNLST	0.994	No	Seq2Tens: An Efficient Representation of Sequenc...	2020-06-12	Code
3	GP-Sig-LSTM	0.991	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
4	GP-Sig	0.979	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
5	SNLST	0.957	No	Seq2Tens: An Efficient Representation of Sequenc...	2020-06-12	Code
6	GP-KConv1D	0.941	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
7	GP-Sig-GRU	0.925	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
8	GP-LSTM	0.233	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
9	GP-GRU	0.114	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code

#1MALSTM-FCNSOTA
1
Accuracy· 2018-01-14
Multivariate LSTM-FCNs for Time Series Classification Code
#2FCN-SNLST
0.994
Accuracy· 2020-06-12
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections Code
#3GP-Sig-LSTM
0.991
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#4GP-Sig
0.979
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#5SNLST
0.957
Accuracy· 2020-06-12
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections Code
#6GP-KConv1D
0.941
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#7GP-Sig-GRU
0.925
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#8GP-LSTM
0.233
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#9GP-GRU
0.114
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code