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Doubly Convolutional Neural Networks

Doubly Convolutional Neural Networks

30 October 2016
Shuangfei Zhai
Yu Cheng
Weining Lu
Zhongfei Zhang
    OOD
    3DV
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Papers citing "Doubly Convolutional Neural Networks"

27 / 27 papers shown
Title
TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for
  Monocular Depth Estimation
TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth Estimation
Sangwon Choi
Daejune Choi
Duksu Kim
37
4
0
22 Feb 2024
What is Lost in Knowledge Distillation?
What is Lost in Knowledge Distillation?
Manas Mohanty
Tanya Roosta
Peyman Passban
18
1
0
07 Nov 2023
Comparison Analysis of Traditional Machine Learning and Deep Learning
  Techniques for Data and Image Classification
Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification
Efstathios Karypidis
Stylianos G. Mouslech
Kassiani Skoulariki
Alexandros Gazis
25
14
0
11 Apr 2022
Recursive Least Squares for Training and Pruning Convolutional Neural
  Networks
Recursive Least Squares for Training and Pruning Convolutional Neural Networks
Tianzong Yu
Chunyuan Zhang
Yuan Wang
Meng-tao Ma
Qingwei Song
35
1
0
13 Jan 2022
Automatic Mixed-Precision Quantization Search of BERT
Automatic Mixed-Precision Quantization Search of BERT
Changsheng Zhao
Ting Hua
Yilin Shen
Qian Lou
Hongxia Jin
MQ
22
19
0
30 Dec 2021
Controlling the Quality of Distillation in Response-Based Network
  Compression
Controlling the Quality of Distillation in Response-Based Network Compression
Vibhas Kumar Vats
David J. Crandall
23
1
0
19 Dec 2021
NeRV: Neural Representations for Videos
NeRV: Neural Representations for Videos
Hao Chen
Bo He
Hanyu Wang
Yixuan Ren
Ser-Nam Lim
Abhinav Shrivastava
23
243
0
26 Oct 2021
Training Deep Neural Networks for Wireless Sensor Networks Using Loosely
  and Weakly Labeled Images
Training Deep Neural Networks for Wireless Sensor Networks Using Loosely and Weakly Labeled Images
Q. Zhou
Yuhang Chen
Baoqing Li
Xiaoxin Li
Chen Zhou
Jingchang Huang
Haigen Hu
9
2
0
06 Oct 2020
Towards Modality Transferable Visual Information Representation with
  Optimal Model Compression
Towards Modality Transferable Visual Information Representation with Optimal Model Compression
Rongqun Lin
Linwei Zhu
Shiqi Wang
Sam Kwong
42
2
0
13 Aug 2020
Compression strategies and space-conscious representations for deep
  neural networks
Compression strategies and space-conscious representations for deep neural networks
Giosuè Cataldo Marinò
G. Ghidoli
Marco Frasca
D. Malchiodi
20
10
0
15 Jul 2020
HMIC: Hierarchical Medical Image Classification, A Deep Learning
  Approach
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach
Kamran Kowsari
R. Sali
L. Ehsan
W. Adorno
Asad Ali
S. Moore
B. Amadi
P. Kelly
Sana Syed
Donald Brown
18
56
0
12 Jun 2020
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy
  on Biopsy Images using Deep Learning Approaches
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
Kamran Kowsari
27
2
0
11 Jun 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
23
2,851
0
09 Jun 2020
Collaborative Inference for Efficient Remote Monitoring
Collaborative Inference for Efficient Remote Monitoring
Chi Zhang
Yong Sheng Soh
Ling Feng
Dinesh Manocha
Qianxiao Li
18
0
0
12 Feb 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Canwen Xu
Wangchunshu Zhou
Tao Ge
Furu Wei
Ming Zhou
231
198
0
07 Feb 2020
Orchestrating the Development Lifecycle of Machine Learning-Based IoT
  Applications: A Taxonomy and Survey
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey
Bin Qian
Jie Su
Z. Wen
D. N. Jha
Yinhao Li
...
Albert Y. Zomaya
Omer F. Rana
Lizhe Wang
Maciej Koutny
R. Ranjan
28
4
0
11 Oct 2019
Patient Knowledge Distillation for BERT Model Compression
Patient Knowledge Distillation for BERT Model Compression
S. Sun
Yu Cheng
Zhe Gan
Jingjing Liu
78
831
0
25 Aug 2019
Multi-level Wavelet Convolutional Neural Networks
Multi-level Wavelet Convolutional Neural Networks
Pengju Liu
Hongzhi Zhang
Wei Lian
W. Zuo
27
199
0
06 Jul 2019
SymNet: Symmetrical Filters in Convolutional Neural Networks
SymNet: Symmetrical Filters in Convolutional Neural Networks
Gregory Dzhezyan
H. Cecotti
12
7
0
10 Jun 2019
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy
  Images Using Color Balancing on Convolutional Neural Networks
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks
Kamran Kowsari
R. Sali
Marium N. Khan
W. Adorno
S. A. Ali
S. Moore
B. Amadi
P. Kelly
Sana Syed
Donald E. Brown
30
15
0
10 Apr 2019
A Hybrid Approach with Optimization and Metric-based Meta-Learner for
  Few-Shot Learning
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning
Duo Wang
Yu Cheng
Mo Yu
Xiaoxiao Guo
Zhang Tao
VLM
25
3
0
04 Apr 2019
Multi-layer Pruning Framework for Compressing Single Shot MultiBox
  Detector
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector
Pravendra Singh
Manikandan Ravikiran
Neeraj Matiyali
Vinay P. Namboodiri
25
21
0
20 Nov 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
Chuhan Min
Aosen Wang
Yiran Chen
Wenyao Xu
Xin Chen
30
41
0
06 Sep 2018
Coreset-Based Neural Network Compression
Coreset-Based Neural Network Compression
Abhimanyu Dubey
Moitreya Chatterjee
Narendra Ahuja
32
79
0
25 Jul 2018
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
40
1,087
0
23 Oct 2017
Analysis and Optimization of Convolutional Neural Network Architectures
Analysis and Optimization of Convolutional Neural Network Architectures
Martin Thoma
30
72
0
31 Jul 2017
Deep Function Machines: Generalized Neural Networks for Topological
  Layer Expression
Deep Function Machines: Generalized Neural Networks for Topological Layer Expression
William H. Guss
AI4CE
16
12
0
14 Dec 2016
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