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Rethinking Centered Kernel Alignment in Knowledge Distillation

Rethinking Centered Kernel Alignment in Knowledge Distillation

22 January 2024
Zikai Zhou
Yunhang Shen
Shitong Shao
Linrui Gong
Shaohui Lin
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Papers citing "Rethinking Centered Kernel Alignment in Knowledge Distillation"

32 / 32 papers shown
Title
AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework
AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework
Zikai Zhou
Shuo Zhang
Ziruo Wang
Huanran Chen
AI4CE
68
3
0
07 Aug 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating
  Sampling
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
Shitong Shao
Xu Dai
Shouyi Yin
Lujun Li
Huanran Chen
Yang Hu
45
17
0
18 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
119
73
0
10 May 2023
Dual Relation Knowledge Distillation for Object Detection
Dual Relation Knowledge Distillation for Object Detection
Zhenliang Ni
Fu-Han Yang
Shengzhao Wen
Gang Zhang
ObjD
62
13
0
11 Feb 2023
ViTKD: Practical Guidelines for ViT feature knowledge distillation
ViTKD: Practical Guidelines for ViT feature knowledge distillation
Zhendong Yang
Zhe Li
Ailing Zeng
Zexian Li
Chun Yuan
Yu Li
109
42
0
06 Sep 2022
Masked Generative Distillation
Masked Generative Distillation
Zhendong Yang
Zhe Li
Mingqi Shao
Dachuan Shi
Zehuan Yuan
Chun Yuan
FedML
66
174
0
03 May 2022
Decoupled Knowledge Distillation
Decoupled Knowledge Distillation
Borui Zhao
Quan Cui
Renjie Song
Yiyu Qiu
Jiajun Liang
56
539
0
16 Mar 2022
Exploring Inter-Channel Correlation for Diversity-preserved
  KnowledgeDistillation
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation
Li Liu
Qingle Huang
Sihao Lin
Hongwei Xie
Bing Wang
Xiaojun Chang
Xiao-Xue Liang
72
103
0
08 Feb 2022
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
Songhua Liu
Tianwei Lin
Dongliang He
Fu Li
Rui Deng
Xin Li
Errui Ding
Hao Wang
ViT
54
78
0
09 Aug 2021
Distilling Knowledge via Knowledge Review
Distilling Knowledge via Knowledge Review
Pengguang Chen
Shu Liu
Hengshuang Zhao
Jiaya Jia
181
434
0
19 Apr 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
355
6,731
0
23 Dec 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding
  Boxes for Dense Object Detection
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Xiang Li
Wenhai Wang
Lijun Wu
Shuo Chen
Xiaolin Hu
Jun Li
Jinhui Tang
Jian Yang
ObjD
69
1,191
0
08 Jun 2020
A unifying mutual information view of metric learning: cross-entropy vs.
  pairwise losses
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Malik Boudiaf
Jérôme Rony
Imtiaz Masud Ziko
Eric Granger
M. Pedersoli
Pablo Piantanida
Ismail Ben Ayed
SSL
77
159
0
19 Mar 2020
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
141
1,045
0
23 Oct 2019
Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
Frederick Tung
Greg Mori
113
973
0
23 Jul 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
130
2,858
0
17 Jun 2019
Distilling Object Detectors with Fine-grained Feature Imitation
Distilling Object Detectors with Fine-grained Feature Imitation
Tao Wang
Li-xin Yuan
Xiaopeng Zhang
Jiashi Feng
ObjD
51
381
0
09 Jun 2019
RepPoints: Point Set Representation for Object Detection
RepPoints: Point Set Representation for Object Detection
Ze Yang
Shaohui Liu
Han Hu
Liwei Wang
Stephen Lin
3DPC
95
866
0
25 Apr 2019
Relational Knowledge Distillation
Relational Knowledge Distillation
Wonpyo Park
Dongju Kim
Yan Lu
Minsu Cho
63
1,405
0
10 Apr 2019
A Comprehensive Overhaul of Feature Distillation
A Comprehensive Overhaul of Feature Distillation
Byeongho Heo
Jeesoo Kim
Sangdoo Yun
Hyojin Park
Nojun Kwak
J. Choi
76
574
0
03 Apr 2019
Correlation Congruence for Knowledge Distillation
Correlation Congruence for Knowledge Distillation
Baoyun Peng
Xiao Jin
Jiaheng Liu
Shunfeng Zhou
Yichao Wu
Yu Liu
Dongsheng Li
Zhaoning Zhang
86
510
0
03 Apr 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
117
4,997
0
02 Apr 2019
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
214
3,457
0
09 Mar 2018
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
134
4,920
0
03 Dec 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
113
2,569
0
12 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
605
11,984
0
04 Dec 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
322
7,971
0
23 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
1.0K
11,587
0
06 Apr 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
475
62,122
0
04 Jun 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
286
3,870
0
19 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.6K
39,472
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
381
43,524
0
01 May 2014
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