ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.14124
  4. Cited By
Intra-class Patch Swap for Self-Distillation

Intra-class Patch Swap for Self-Distillation

20 May 2025
Hongjun Choi
Eun Som Jeon
Ankita Shukla
Pavan Turaga
ArXiv (abs)PDFHTML

Papers citing "Intra-class Patch Swap for Self-Distillation"

50 / 54 papers shown
Title
Leveraging Angular Distributions for Improved Knowledge Distillation
Leveraging Angular Distributions for Improved Knowledge Distillation
Eunyeong Jeon
Hongjun Choi
Ankita Shukla
Pavan Turaga
16
8
0
27 Feb 2023
Understanding the Role of Mixup in Knowledge Distillation: An Empirical
  Study
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study
Hongjun Choi
Eunyeong Jeon
Ankita Shukla
Pavan Turaga
49
8
0
08 Nov 2022
Efficient One Pass Self-distillation with Zipf's Label Smoothing
Efficient One Pass Self-distillation with Zipf's Label Smoothing
Jiajun Liang
Linze Li
Z. Bing
Borui Zhao
Yao Tang
Bo Lin
Haoqiang Fan
51
19
0
26 Jul 2022
Self-Distillation from the Last Mini-Batch for Consistency
  Regularization
Self-Distillation from the Last Mini-Batch for Consistency Regularization
Yiqing Shen
Liwu Xu
Yuzhe Yang
Yaqian Li
Yandong Guo
106
63
0
30 Mar 2022
Reducing Flipping Errors in Deep Neural Networks
Reducing Flipping Errors in Deep Neural Networks
Xiang Deng
Yun Xiao
Bo Long
Zhongfei Zhang
AAML
42
4
0
16 Mar 2022
MViTv2: Improved Multiscale Vision Transformers for Classification and
  Detection
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
Yanghao Li
Chaoxia Wu
Haoqi Fan
K. Mangalam
Bo Xiong
Jitendra Malik
Christoph Feichtenhofer
ViT
153
693
0
02 Dec 2021
Isotonic Data Augmentation for Knowledge Distillation
Isotonic Data Augmentation for Knowledge Distillation
Wanyun Cui
Sen Yan
82
7
0
03 Jul 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
329
5,072
0
31 May 2021
Segmenter: Transformer for Semantic Segmentation
Segmenter: Transformer for Semantic Segmentation
Robin Strudel
Ricardo Garcia Pinel
Ivan Laptev
Cordelia Schmid
ViT
218
1,473
0
12 May 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViTMDE
138
1,747
0
24 Mar 2021
GANav: Efficient Terrain Segmentation for Robot Navigation in
  Unstructured Outdoor Environments
GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments
Tianrui Guan
D. Kothandaraman
Rohan Chandra
A. Sathyamoorthy
K. Weerakoon
Tianyi Zhou
82
109
0
07 Mar 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
194
2,911
0
31 Dec 2020
Delving Deep into Label Smoothing
Delving Deep into Label Smoothing
Chang-Bin Zhang
Peng-Tao Jiang
Qibin Hou
Yunchao Wei
Qi Han
Zhen Li
Ming-Ming Cheng
114
213
0
25 Nov 2020
Knowledge Distillation: A Survey
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
177
2,986
0
09 Jun 2020
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time
  Semantic Segmentation
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
Changqian Yu
Changxin Gao
Jingbo Wang
Gang Yu
Chunhua Shen
Nong Sang
SSeg
93
1,222
0
05 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation
Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun
Jongjin Park
Kimin Lee
Jinwoo Shin
73
281
0
31 Mar 2020
Preparing Lessons: Improve Knowledge Distillation with Better
  Supervision
Preparing Lessons: Improve Knowledge Distillation with Better Supervision
Tiancheng Wen
Shenqi Lai
Xueming Qian
112
70
0
18 Nov 2019
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
174
1,054
0
23 Oct 2019
Segmentation Transformer: Object-Contextual Representations for Semantic
  Segmentation
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
Yuhui Yuan
Xiaokang Chen
Xilin Chen
Jingdong Wang
ViT
239
1,420
0
24 Sep 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Yisen Wang
Xingjun Ma
Zaiyi Chen
Yuan Luo
Jinfeng Yi
James Bailey
NoLa
96
904
0
16 Aug 2019
Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
Frederick Tung
Greg Mori
126
981
0
23 Jul 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
68
384
0
09 Jun 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural
  Networks via Self Distillation
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
Linfeng Zhang
Jiebo Song
Anni Gao
Jingwei Chen
Chenglong Bao
Kaisheng Ma
FedML
76
865
0
17 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
624
4,809
0
13 May 2019
Relational Knowledge Distillation
Relational Knowledge Distillation
Wonpyo Park
Dongju Kim
Yan Lu
Minsu Cho
87
1,425
0
10 Apr 2019
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic
  Segmentation
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
Huikai Wu
Junge Zhang
Kaiqi Huang
Kongming Liang
Yizhou Yu
SSeg
92
299
0
28 Mar 2019
Fast-SCNN: Fast Semantic Segmentation Network
Fast-SCNN: Fast Semantic Segmentation Network
Rudra P. K. Poudel
Stephan Liwicki
R. Cipolla
SSeg
57
515
0
12 Feb 2019
CGNet: A Light-weight Context Guided Network for Semantic Segmentation
CGNet: A Light-weight Context Guided Network for Semantic Segmentation
Tianyi Wu
Sheng Tang
Rui Zhang
Yongdong Zhang
SSeg
127
526
0
20 Nov 2018
Dual Attention Network for Scene Segmentation
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
324
5,114
0
09 Sep 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
181
5,012
0
30 Jul 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Yonatan Geifman
Guy Uziel
Ran El-Yaniv
UQCV
59
141
0
21 May 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
485
13,194
0
07 Feb 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
213
19,353
0
13 Jan 2018
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILMAAML
101
1,625
0
19 Dec 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
316
9,811
0
25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
137
3,775
0
15 Aug 2017
Deep Mutual Learning
Deep Mutual Learning
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
FedML
155
1,656
0
01 Jun 2017
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised
  Object and Action Localization
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization
Krishna Kumar Singh
Yong Jae Lee
102
682
0
13 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
833
11,952
0
09 Mar 2017
Regularizing Neural Networks by Penalizing Confident Output
  Distributions
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra
George Tucker
J. Chorowski
Lukasz Kaiser
Geoffrey E. Hinton
NoLa
165
1,141
0
23 Jan 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
147
2,586
0
12 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,035
0
04 Dec 2016
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Pratik Chaudhari
A. Choromańska
Stefano Soatto
Yann LeCun
Carlo Baldassi
C. Borgs
J. Chayes
Levent Sagun
R. Zecchina
ODL
96
775
0
06 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
335
20,110
0
07 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
433
2,946
0
15 Sep 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
755
37,895
0
20 May 2016
DisturbLabel: Regularizing CNN on the Loss Layer
DisturbLabel: Regularizing CNN on the Loss Layer
Lingxi Xie
Jingdong Wang
Zhen Wei
Meng Wang
Qi Tian
131
252
0
30 Apr 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
11,654
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
2.3K
194,510
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
257
29,879
0
08 Dec 2015
12
Next