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SiTGRU: Single-Tunnelled Gated Recurrent Unit for Abnormality Detection

SiTGRU: Single-Tunnelled Gated Recurrent Unit for Abnormality Detection

Information Sciences (Inf. Sci.), 2020
30 March 2020
Habtamu Fanta
Zhiwen Shao
Lizhuang Ma
ArXiv (abs)PDFHTML

Papers citing "SiTGRU: Single-Tunnelled Gated Recurrent Unit for Abnormality Detection"

3 / 3 papers shown
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations
GhostRNN: Reducing State Redundancy in RNN with Cheap OperationsInterspeech (Interspeech), 2023
Hang Zhou
Xiaoxu Zheng
Yunhe Wang
Michael Bi Mi
Deyi Xiong
Kai Han
294
0
0
20 Nov 2024
"Forget" the Forget Gate: Estimating Anomalies in Videos using
  Self-contained Long Short-Term Memory Networks
"Forget" the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory NetworksComputer Graphics International Conference (CGI), 2021
Habtamu Fanta
Zhiwen Shao
Lizhuang Ma
219
0
0
03 Apr 2021
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent
  Unit Framework for Structural Damage Detection
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage DetectionInformation Sciences (Inf. Sci.), 2020
Jianxi Yang
Likai Zhang
Cen Chen
Yangfan Li
Ren Li
Guiping Wang
Shixin Jiang
Zeng Zeng
131
106
0
29 May 2020
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