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OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive
  Learning

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

20 June 2023
Cheng Tan
Siyuan Li
Zhangyang Gao
Wen-Cai Guan
Zedong Wang
Zicheng Liu
Lirong Wu
Stan Z. Li
    AI4TS
ArXivPDFHTML

Papers citing "OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning"

15 / 15 papers shown
Title
GMG: A Video Prediction Method Based on Global Focus and Motion Guided
GMG: A Video Prediction Method Based on Global Focus and Motion Guided
Yuhao Du
Hui Liu
Haoxiang Peng
Xinyuan Chen
Chenrong Wu
J. Zhang
59
0
0
14 Mar 2025
DiffCast: A Unified Framework via Residual Diffusion for Precipitation
  Nowcasting
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
Demin Yu
Xutao Li
Yunming Ye
Baoquan Zhang
Chuyao Luo
Kuai Dai
Rui Wang
Xunlai Chen
28
20
0
11 Dec 2023
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
Chao Chen
Tian Zhou
Yanjun Zhao
Hui Liu
Liang Sun
Rong Jin
25
0
0
06 Dec 2023
Boosting the Power of Small Multimodal Reasoning Models to Match Larger
  Models with Self-Consistency Training
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training
Cheng Tan
Jingxuan Wei
Zhangyang Gao
Linzhuang Sun
Siyuan Li
Ruifeng Guo
Xihong Yang
Stan Z. Li
LRM
14
7
0
23 Nov 2023
USTEP: Spatio-Temporal Predictive Learning under A Unified View
USTEP: Spatio-Temporal Predictive Learning under A Unified View
Cheng Tan
Jue Wang
Zhangyang Gao
Siyuan Li
Stan Z. Li
36
1
0
09 Oct 2023
The Capacity and Robustness Trade-off: Revisiting the Channel
  Independent Strategy for Multivariate Time Series Forecasting
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
Lu Han
Han-Jia Ye
De-Chuan Zhan
AI4TS
18
82
0
11 Apr 2023
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Xihong Yang
Yue Liu
Sihang Zhou
Xinwang Liu
En Zhu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
37
26
0
06 Jun 2022
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
214
400
0
24 Jan 2022
UniFormer: Unifying Convolution and Self-attention for Visual
  Recognition
UniFormer: Unifying Convolution and Self-attention for Visual Recognition
Kunchang Li
Yali Wang
Junhao Zhang
Peng Gao
Guanglu Song
Yu Liu
Hongsheng Li
Yu Qiao
ViT
142
360
0
24 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,592
0
04 May 2021
Video Representation Learning by Recognizing Temporal Transformations
Video Representation Learning by Recognizing Temporal Transformations
Simon Jenni
Givi Meishvili
Paolo Favaro
119
133
0
21 Jul 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
78
287
0
03 Mar 2020
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
127
304
0
11 Jun 2018
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,884
0
13 Jun 2015
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