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ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal
  Prediction
v1v2 (latest)

ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction

1 September 2023
Wenxuan Zhang
Xuechao Zou
Li Wu
Xiaoying Wang
Jianqiang Huang
Junliang Xing
ArXiv (abs)PDFHTML

Papers citing "ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction"

21 / 21 papers shown
Title
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from
  Optical Satellite Images
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images
Xuechao Zou
Keqin Li
Junliang Xing
Yu-an Zhang
Shiying Wang
Lei Jin
Pin Tao
DiffM
71
33
0
08 Aug 2023
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Qibin Hou
Cheng Lu
Mingg-Ming Cheng
Jiashi Feng
ViT
109
140
0
22 Nov 2022
SegNeXt: Rethinking Convolutional Attention Design for Semantic
  Segmentation
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
Meng-Hao Guo
Chenggang Lu
Qibin Hou
Zheng Liu
Ming-Ming Cheng
Shiyong Hu
SSegViTVLM
76
653
0
18 Sep 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Xiaohan Ding
Xinming Zhang
Yi Zhou
Jungong Han
Guiguang Ding
Jian Sun
VLM
133
551
0
13 Mar 2022
Visual Attention Network
Visual Attention Network
Meng-Hao Guo
Chengrou Lu
Zheng-Ning Liu
Ming-Ming Cheng
Shiyong Hu
ViTVLM
84
669
0
20 Feb 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
189
5,213
0
10 Jan 2022
Swin Transformer V2: Scaling Up Capacity and Resolution
Swin Transformer V2: Scaling Up Capacity and Resolution
Ze Liu
Han Hu
Yutong Lin
Zhuliang Yao
Zhenda Xie
...
Yue Cao
Zheng Zhang
Li Dong
Furu Wei
B. Guo
ViT
221
1,826
0
18 Nov 2021
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer
Christos Sakaridis
Jie Cao
Guolei Sun
Peng Sun
Luc Van Gool
Radu Timofte
ViT
195
2,945
0
23 Aug 2021
Video Swin Transformer
Video Swin Transformer
Ze Liu
Jia Ning
Yue Cao
Yixuan Wei
Zheng Zhang
Stephen Lin
Han Hu
ViT
113
1,489
0
24 Jun 2021
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
AI4CEPINN
155
291
0
03 Mar 2020
GMAN: A Graph Multi-Attention Network for Traffic Prediction
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng
Xiaoliang Fan
Cheng-Yu Wang
Jianzhong Qi
AI4TSAI4CE
121
1,384
0
11 Nov 2019
Memory In Memory: A Predictive Neural Network for Learning Higher-Order
  Non-Stationarity from Spatiotemporal Dynamics
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
Yunbo Wang
Jianjin Zhang
Hongyu Zhu
Mingsheng Long
Jianmin Wang
Philip S Yu
AI4TS
67
321
0
19 Nov 2018
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in
  Spatiotemporal Predictive Learning
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang
Zhifeng Gao
Mingsheng Long
Jianmin Wang
Philip S. Yu
128
476
0
17 Apr 2018
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for
  Traffic Prediction
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Huaxiu Yao
Xianfeng Tang
Hua Wei
Guanjie Zheng
Z. Li
AI4TS
84
722
0
03 Mar 2018
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi
Zhihan Gao
Leonard Lausen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
73
798
0
12 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,900
0
17 Apr 2017
Large Kernel Matters -- Improve Semantic Segmentation by Global
  Convolutional Network
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
Chao Peng
Xiangyu Zhang
Gang Yu
G. Luo
Jian Sun
VLMSSeg
105
1,491
0
08 Mar 2017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation
  in Reinforcement Learning
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
Stefan Elfwing
E. Uchibe
Kenji Doya
136
1,746
0
10 Feb 2017
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
568
8,007
0
13 Jun 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,396
0
03 Jun 2014
No More Pesky Learning Rates
No More Pesky Learning Rates
Tom Schaul
Sixin Zhang
Yann LeCun
139
478
0
06 Jun 2012
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