A Systolic Computing-in-Memory Array based Accelerator with Predictive Early Activation for Spatiotemporal Convolutions-Reference-Cited by-同舟云学术

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A Systolic Computing-in-Memory Array based Accelerator with Predictive Early Activation for Spatiotemporal Convolutions

Published:2023-06-11 Issue: Volume: Page:
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Container-title:2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)
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Author:

Chen Xiaofeng¹,Guo Ruiqi¹,Yue Zhiheng¹,Hu Yang¹,Liu Leibo¹,Wei Shaojun¹,Yin Shouyi¹

Affiliation:

1. Tsinghua University,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10168547/10168548/10168581.pdf?arnumber=10168581

Reference15 articles.

1. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

2. Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

3. Prediction Based Execution on Deep Neural Networks

4. UCF101: A dataset of 101 human actions classes from videos in the wild;khurram,2012

5. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition;wang;European Conference on Computer Vision Springer,2016

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