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SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

24 February 2016
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
ArXivPDFHTML

Papers citing "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size"

50 / 823 papers shown
Title
Quadratic mutual information regularization in real-time deep CNN models
Quadratic mutual information regularization in real-time deep CNN models
Maria Tzelepi
Anastasios Tefas
24
1
0
26 Aug 2021
StressNAS: Affect State and Stress Detection Using Neural Architecture
  Search
StressNAS: Affect State and Stress Detection Using Neural Architecture Search
Lam Huynh
Tri Nguyen
Thu Nguyen
Susanna Pirttikangas
Pekka Siirtola
9
21
0
26 Aug 2021
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
42
2
0
25 Aug 2021
Efficient Medical Image Segmentation Based on Knowledge Distillation
Efficient Medical Image Segmentation Based on Knowledge Distillation
Dian Qin
Jiajun Bu
Zhe Liu
Xin Shen
Sheng Zhou
Jingjun Gu
Zhihong Wang
Lei Wu
Hui-Fen Dai
30
129
0
23 Aug 2021
Reconfigurable co-processor architecture with limited numerical
  precision to accelerate deep convolutional neural networks
Reconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks
Sasindu Wijeratne
Sandaruwan Jayaweera
Mahesh Dananjaya
A. Pasqual
29
6
0
21 Aug 2021
Spatially and color consistent environment lighting estimation using
  deep neural networks for mixed reality
Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality
B. Marques
E. Clua
A. Montenegro
C. N. Vasconcelos
3DV
27
10
0
17 Aug 2021
FOX-NAS: Fast, On-device and Explainable Neural Architecture Search
FOX-NAS: Fast, On-device and Explainable Neural Architecture Search
Chia-Hsiang Liu
Yu-Shin Han
Yuan-Yao Sung
Yi Lee
Hung-Yueh Chiang
Kai-Chiang Wu
27
11
0
14 Aug 2021
perf4sight: A toolflow to model CNN training performance on Edge GPUs
perf4sight: A toolflow to model CNN training performance on Edge GPUs
A. Rajagopal
C. Bouganis
23
7
0
12 Aug 2021
SoK: How Robust is Image Classification Deep Neural Network
  Watermarking? (Extended Version)
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
Nils Lukas
Edward Jiang
Xinda Li
Florian Kerschbaum
AAML
36
87
0
11 Aug 2021
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
Harshala Gammulle
Tharindu Fernando
Sridha Sridharan
Simon Denman
Clinton Fookes
38
3
0
09 Aug 2021
Design and Evaluation of a Hair Combing System Using a General-Purpose
  Robotic Arm
Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm
N. Dennler
Eura Shin
Maja J. Matarić
Stefanos Nikolaidis
187
7
0
03 Aug 2021
Developing a Compressed Object Detection Model based on YOLOv4 for
  Deployment on Embedded GPU Platform of Autonomous System
Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System
Issac Sim
Junho Lim
Young-Wan Jang
Jihwan You
Seontaek Oh
Young-Keun Kim
29
7
0
01 Aug 2021
Dynamic Neural Network Architectural and Topological Adaptation and
  Related Methods -- A Survey
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
Lorenz Kummer
AI4CE
40
0
0
28 Jul 2021
Developing efficient transfer learning strategies for robust scene
  recognition in mobile robotics using pre-trained convolutional neural
  networks
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
H. Baumgartl
Ricardo Buettner
3DPC
54
3
0
23 Jul 2021
Bias Loss for Mobile Neural Networks
Bias Loss for Mobile Neural Networks
L. Abrahamyan
Valentin Ziatchin
Yiming Chen
Nikos Deligiannis
15
14
0
23 Jul 2021
A New Clustering-Based Technique for the Acceleration of Deep
  Convolutional Networks
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks
Erion-Vasilis M. Pikoulis
C. Mavrokefalidis
Aris S. Lalos
34
10
0
19 Jul 2021
Double Similarity Distillation for Semantic Image Segmentation
Double Similarity Distillation for Semantic Image Segmentation
Yingchao Feng
Xian Sun
Wenhui Diao
Jihao Li
Xin Gao
24
62
0
19 Jul 2021
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges,
  Techniques and Datasets
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
Muhammed Muzammul
Xi Li
ObjD
19
11
0
16 Jul 2021
An Efficient and Small Convolutional Neural Network for Pest Recognition
  -- ExquisiteNet
An Efficient and Small Convolutional Neural Network for Pest Recognition -- ExquisiteNet
Shi-Yao Zhou
Chung-Yen Su
18
11
0
15 Jul 2021
Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network
Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network
Xingqun Qi
Muyi Sun
Weining Wang
Xiaoxiao Dong
Qi Li
Caifeng Shan
GAN
CVBM
31
12
0
29 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning
CompConv: A Compact Convolution Module for Efficient Feature Learning
Chen Zhang
Yinghao Xu
Yujun Shen
VLM
SSL
16
10
0
19 Jun 2021
Disrupting Model Training with Adversarial Shortcuts
Disrupting Model Training with Adversarial Shortcuts
Ivan Evtimov
Ian Covert
Aditya Kusupati
Tadayoshi Kohno
AAML
28
10
0
12 Jun 2021
Deep Learning-based Type Identification of Volumetric MRI Sequences
Deep Learning-based Type Identification of Volumetric MRI Sequences
Jean Pablo Vieira de Mello
T. M. Paixão
Rodrigo Berriel
M. Reyes
C. Badue
Alberto F. de Souza
Thiago Oliveira-Santos
13
10
0
06 Jun 2021
An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
26
49
0
29 May 2021
Pruning and Slicing Neural Networks using Formal Verification
Pruning and Slicing Neural Networks using Formal Verification
O. Lahav
Guy Katz
26
20
0
28 May 2021
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Pierre-Emmanuel Novac
G. B. Hacene
Alain Pegatoquet
Benoit Miramond
Vincent Gripon
MQ
22
116
0
27 May 2021
Post-Training Sparsity-Aware Quantization
Post-Training Sparsity-Aware Quantization
Gil Shomron
F. Gabbay
Samer Kurzum
U. Weiser
MQ
41
33
0
23 May 2021
Extremely Lightweight Quantization Robust Real-Time Single-Image Super
  Resolution for Mobile Devices
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
Mustafa Ayazoglu
8
57
0
21 May 2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP
  Protection for Internet of Things
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things
Huming Qiu
Hua Ma
Zhi-Li Zhang
Yifeng Zheng
Anmin Fu
Pan Zhou
Yansong Gao
Derek Abbott
S. Al-Sarawi
MQ
19
9
0
09 May 2021
Towards A Multi-agent System for Online Hate Speech Detection
Towards A Multi-agent System for Online Hate Speech Detection
Gaurav Sahu
R. Cohen
Olga Vechtomova
19
9
0
03 May 2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic
  Segmentation on the Edge
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
Xiaoyue Wen
M. Famouri
Andrew Hryniowski
Alexander Wong
SSeg
13
7
0
29 Apr 2021
LaSS: Running Latency Sensitive Serverless Computations at the Edge
LaSS: Running Latency Sensitive Serverless Computations at the Edge
Bin Wang
Ahmed Ali-Eldin
Prashant J. Shenoy
29
60
0
29 Apr 2021
EmergencyNet: Efficient Aerial Image Classification for Drone-Based
  Emergency Monitoring Using Atrous Convolutional Feature Fusion
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
C. Kyrkou
T. Theocharides
43
131
0
28 Apr 2021
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications
FaaT:ATransparentAuto−ScalingCacheforServerlessApplicationsT: A Transparent Auto-Scaling Cache for Serverless ApplicationsT:ATransparentAuto−ScalingCacheforServerlessApplications
Francisco Romero
G. Chaudhry
Íñigo Goiri
Pragna Gopa
Paul Batum
N. Yadwadkar
Rodrigo Fonseca
Christos Kozyrakis
Ricardo Bianchini
60
112
0
28 Apr 2021
IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring
  Research
IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research
J. Abeßer
S. Gourishetti
András Kátai
Tobias Clauss
Prachi Sharma
Judith Liebetrau
14
10
0
28 Apr 2021
Efficient Pre-trained Features and Recurrent Pseudo-Labeling in
  Unsupervised Domain Adaptation
Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation
Youshan Zhang
Brian D. Davison
VLM
45
6
0
27 Apr 2021
Rethinking BiSeNet For Real-time Semantic Segmentation
Rethinking BiSeNet For Real-time Semantic Segmentation
Mingyuan Fan
Shenqi Lai
Junshi Huang
Xiaoming Wei
Z. Chai
Junfeng Luo
Xiaolin K. Wei
SSeg
45
470
0
27 Apr 2021
HAO: Hardware-aware neural Architecture Optimization for Efficient
  Inference
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference
Zhen Dong
Yizhao Gao
Qijing Huang
J. Wawrzynek
Hayden Kwok-Hay So
Kurt Keutzer
19
34
0
26 Apr 2021
A Survey of Modern Deep Learning based Object Detection Models
A Survey of Modern Deep Learning based Object Detection Models
Syed Sahil Abbas Zaidi
M. S. Ansari
Asra Aslam
N. Kanwal
M. Asghar
Brian Lee
VLM
ObjD
69
730
0
24 Apr 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
27
25
0
24 Apr 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim
Andreas Biri
Zhongnan Qu
Lothar Thiele
49
30
0
21 Apr 2021
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for
  Energy-Efficient CNN-Based Computational Imaging
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging
Chao-Tsung Huang
40
10
0
19 Apr 2021
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and
  Compute-in-Memory DNN Accelerators
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators
Shamma Nasrin
A. Shylendra
Yuti Kadakia
N. Iliev
Wilfred Gomes
Theja Tulabandhula
A. R. Trivedi
MQ
13
2
0
12 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
38
20
0
10 Apr 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph
  Convolutional Networks
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks
H. Sahbi
3DH
GNN
18
3
0
09 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
58
34
0
25 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and
  Applications
Compacting Deep Neural Networks for Internet of Things: Methods and Applications
Ke Zhang
Hanbo Ying
Hongning Dai
Lin Li
Yuangyuang Peng
Keyi Guo
Hongfang Yu
21
38
0
20 Mar 2021
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and
  Benchmark
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
Joakim Bruslund Haurum
T. Moeslund
20
60
0
19 Mar 2021
Learning Long-Term Style-Preserving Blind Video Temporal Consistency
Learning Long-Term Style-Preserving Blind Video Temporal Consistency
Hugo Thimonier
J. Despois
Robin Kips
M. Perrot
34
10
0
12 Mar 2021
A Study of Face Obfuscation in ImageNet
A Study of Face Obfuscation in ImageNet
Kaiyu Yang
Jacqueline Yau
Li Fei-Fei
Jia Deng
Olga Russakovsky
PICV
CVBM
34
144
0
10 Mar 2021
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