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Knowledge Adaptation for Efficient Semantic Segmentation

Knowledge Adaptation for Efficient Semantic Segmentation

12 March 2019
Tong He
Chunhua Shen
Zhi Tian
Dong Gong
Changming Sun
Youliang Yan
    SSeg
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Papers citing "Knowledge Adaptation for Efficient Semantic Segmentation"

30 / 30 papers shown
Title
I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic Segmentation
I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic Segmentation
Ayoub Karine
Thibault Napoléon
M. Jridi
VLM
262
0
0
24 Feb 2025
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Deyi Ji
Haoran Wang
Mingyuan Tao
Jianqiang Huang
Xiansheng Hua
Hongtao Lu
173
61
0
06 May 2023
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
Chaojian Li
Wuyang Chen
Yuchen Gu
Tianlong Chen
Yonggan Fu
Zhangyang Wang
Yingyan Lin
107
0
0
16 Jul 2021
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding
  Enables Flexible Feature Aggregation
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
Zhi Tian
Tong He
Chunhua Shen
Youliang Yan
57
215
0
05 Mar 2019
ExFuse: Enhancing Feature Fusion for Semantic Segmentation
ExFuse: Enhancing Feature Fusion for Semantic Segmentation
Zhenli Zhang
Xiangyu Zhang
Chao Peng
Dazhi Cheng
Jian Sun
64
428
0
11 Apr 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer
Paraphrasing Complex Network: Network Compression via Factor Transfer
Jangho Kim
Seonguk Park
Nojun Kwak
66
550
0
14 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
430
13,132
0
07 Feb 2018
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced
  Understanding of Data
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data
B. Ayinde
J. Zurada
45
56
0
31 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
178
19,271
0
13 Jan 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
286
8,905
0
21 Nov 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
225
8,470
0
17 Jun 2017
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Hengshuang Zhao
Xiaojuan Qi
Xiaoyong Shen
Jianping Shi
Jiaya Jia
SSeg
73
1,412
0
27 Apr 2017
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
118
2,579
0
12 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
658
12,007
0
04 Dec 2016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
630
1,515
0
30 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
253
2,848
0
20 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.4K
14,559
0
07 Oct 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
315
2,080
0
07 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
242
18,232
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
735
37,846
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,609
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
268
8,442
0
23 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,798
0
02 Nov 2015
Semantic Image Segmentation via Deep Parsing Network
Semantic Image Segmentation via Deep Parsing Network
Ziwei Liu
Xiaoxiao Li
Ping Luo
Chen Change Loy
Xiaoou Tang
161
661
0
09 Sep 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLM
SSeg
133
924
0
04 Apr 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
344
19,643
0
09 Mar 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
238
2,536
0
11 Feb 2015
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
300
3,883
0
19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
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