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SqueezeNext: Hardware-Aware Neural Network Design

SqueezeNext: Hardware-Aware Neural Network Design

23 March 2018
A. Gholami
K. Kwon
Bichen Wu
Zizheng Tai
Xiangyu Yue
Peter H. Jin
Sicheng Zhao
Kurt Keutzer
ArXivPDFHTML

Papers citing "SqueezeNext: Hardware-Aware Neural Network Design"

23 / 23 papers shown
Title
Cooperative Learning for Cost-Adaptive Inference
Cooperative Learning for Cost-Adaptive Inference
Xingli Fang
Richard M. Bradford
Jung-Eun Kim
18
1
0
13 Dec 2023
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation
  for Videos
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos
Qi Zhao
M. Salman Asif
Zhan Ma
13
31
0
13 Apr 2023
Lightweight Estimation of Hand Mesh and Biomechanically Feasible
  Kinematic Parameters
Lightweight Estimation of Hand Mesh and Biomechanically Feasible Kinematic Parameters
Zhipeng Fan
Yao Wang
3DH
28
0
0
26 Mar 2023
PointPillars Backbone Type Selection For Fast and Accurate LiDAR Object
  Detection
PointPillars Backbone Type Selection For Fast and Accurate LiDAR Object Detection
K. Lis
T. Kryjak
3DPC
21
5
0
30 Sep 2022
Efficient ML Models for Practical Secure Inference
Efficient ML Models for Practical Secure Inference
Vinod Ganesan
Anwesh Bhattacharya
Pratyush Kumar
Divya Gupta
Rahul Sharma
Nishanth Chandran
MedIm
43
5
0
26 Aug 2022
Mixed-Precision Neural Networks: A Survey
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
16
11
0
11 Aug 2022
Lightweight and Progressively-Scalable Networks for Semantic
  Segmentation
Lightweight and Progressively-Scalable Networks for Semantic Segmentation
Yiheng Zhang
Ting Yao
Zhaofan Qiu
Tao Mei
SSeg
19
24
0
27 Jul 2022
EVE: Environmental Adaptive Neural Network Models for Low-power Energy
  Harvesting System
EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System
Sahidul Islam
Shangli Zhou
Ran Ran
Yufang Jin
Wu-Shao Wen
Caiwen Ding
Mimi Xie
18
9
0
14 Jul 2022
Standard Deviation-Based Quantization for Deep Neural Networks
Standard Deviation-Based Quantization for Deep Neural Networks
Amir Ardakani
A. Ardakani
B. Meyer
J. Clark
W. Gross
MQ
33
1
0
24 Feb 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
T. Elsken
Arber Zela
J. H. Metzen
B. Staffler
Thomas Brox
Abhinav Valada
Frank Hutter
OOD
28
17
0
15 Feb 2022
Design and Scaffolded Training of an Efficient DNN Operator for Computer
  Vision on the Edge
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge
Vinod Ganesan
Pratyush Kumar
26
2
0
25 Aug 2021
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of
  Quantization on Depthwise Separable Convolutional Networks Through the Eyes
  of Multi-scale Distributional Dynamics
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics
S. Yun
Alexander Wong
MQ
11
25
0
24 Apr 2021
MobileStyleGAN: A Lightweight Convolutional Neural Network for
  High-Fidelity Image Synthesis
MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis
Sergei Belousov
GAN
22
20
0
10 Apr 2021
Enabling Design Methodologies and Future Trends for Edge AI:
  Specialization and Co-design
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
48
34
0
25 Mar 2021
Real-time object detection method based on improved YOLOv4-tiny
Real-time object detection method based on improved YOLOv4-tiny
Zicong Jiang
Liquan Zhao
Shuaiyang Li
Yanfei Jia
ObjD
6
5
0
09 Nov 2020
Cyclic Differentiable Architecture Search
Cyclic Differentiable Architecture Search
Hongyuan Yu
Houwen Peng
Yan Huang
Jianlong Fu
Hao Du
Liang Wang
Haibin Ling
3DPC
19
48
0
18 Jun 2020
Visual Transformers: Token-based Image Representation and Processing for
  Computer Vision
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Bichen Wu
Chenfeng Xu
Xiaoliang Dai
Alvin Wan
Peizhao Zhang
Zhicheng Yan
M. Tomizuka
Joseph E. Gonzalez
Kurt Keutzer
Peter Vajda
ViT
28
543
0
05 Jun 2020
ZeroQ: A Novel Zero Shot Quantization Framework
ZeroQ: A Novel Zero Shot Quantization Framework
Yaohui Cai
Z. Yao
Zhen Dong
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
17
388
0
01 Jan 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong
Z. Yao
Yaohui Cai
Daiyaan Arfeen
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
16
273
0
10 Nov 2019
Combating the Elsagate phenomenon: Deep learning architectures for
  disturbing cartoons
Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons
Akari Ishikawa
Edson Bollis
Sandra Avila
6
25
0
18 Apr 2019
Low-Power Computer Vision: Status, Challenges, Opportunities
Low-Power Computer Vision: Status, Challenges, Opportunities
S. Alyamkin
M. Ardi
Alexander C. Berg
Achille Brighton
Bo Chen
...
George K. Thiruvathukal
Baiwu Zhang
Jingchi Zhang
Xiaopeng Zhang
Shaojie Zhuo
16
10
0
15 Apr 2019
Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded
  Vision Applications
Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications
K. Kwon
Alon Amid
A. Gholami
Bichen Wu
Krste Asanović
Kurt Keutzer
3DV
OOD
11
22
0
20 Apr 2018
AOGNets: Compositional Grammatical Architectures for Deep Learning
AOGNets: Compositional Grammatical Architectures for Deep Learning
Xilai Li
Xi Song
Tianfu Wu
23
25
0
15 Nov 2017
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