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Delving Deep into Label Smoothing

Delving Deep into Label Smoothing

25 November 2020
Chang-Bin Zhang
Peng-Tao Jiang
Qibin Hou
Yunchao Wei
Qi Han
Zhen Li
Ming-Ming Cheng
ArXivPDFHTML

Papers citing "Delving Deep into Label Smoothing"

26 / 26 papers shown
Title
REMEDI: Relative Feature Enhanced Meta-Learning with Distillation for Imbalanced Prediction
REMEDI: Relative Feature Enhanced Meta-Learning with Distillation for Imbalanced Prediction
Fei Liu
Huanhuan Ren
Yu Guan
Xiuxu Wang
Wang Lv
Zhiqiang Hu
Y. Chen
24
0
0
12 May 2025
Advancing Medical Image Segmentation: Morphology-Driven Learning with
  Diffusion Transformer
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer
Sungmin Kang
Jaeha Song
Jihie Kim
MedIm
34
2
0
01 Aug 2024
Dual Branch Network Towards Accurate Printed Mathematical Expression
  Recognition
Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition
Yuqing Wang
Zhenyu Weng
Zhaokun Zhou
Shuaijian Ji
Zhongjie Ye
Yuesheng Zhu
24
2
0
14 Dec 2023
Semantic-embedded Similarity Prototype for Scene Recognition
Semantic-embedded Similarity Prototype for Scene Recognition
Chuanxin Song
Hanbo Wu
X. Ma
Yibin Li
24
3
0
11 Aug 2023
Model Calibration in Dense Classification with Adaptive Label
  Perturbation
Model Calibration in Dense Classification with Adaptive Label Perturbation
Jiawei Liu
Changkun Ye
Shanpeng Wang
Rui-Qing Cui
Jing Zhang
Kai Zhang
Nick Barnes
42
5
0
25 Jul 2023
From Knowledge Distillation to Self-Knowledge Distillation: A Unified
  Approach with Normalized Loss and Customized Soft Labels
From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels
Zhendong Yang
Ailing Zeng
Zhe Li
Tianke Zhang
Chun Yuan
Yu Li
21
72
0
23 Mar 2023
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for
  Surgical Scene Understanding
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding
Mengya Xu
Mobarakol Islam
Ben Glocker
Hongliang Ren
28
1
0
22 Dec 2022
Soft Labels for Rapid Satellite Object Detection
Soft Labels for Rapid Satellite Object Detection
Matt Ciolino
Grant Rosario
David A. Noever
ObjD
40
0
0
01 Dec 2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty
LUMix: Improving Mixup by Better Modelling Label Uncertainty
Shuyang Sun
Jieneng Chen
Ruifei He
Alan Yuille
Philip H. S. Torr
Song Bai
UQCV
NoLa
13
5
0
29 Nov 2022
Event Transformer+. A multi-purpose solution for efficient event data
  processing
Event Transformer+. A multi-purpose solution for efficient event data processing
Alberto Sabater
Luis Montesano
Ana C. Murillo
ViT
31
8
0
22 Nov 2022
Soft Augmentation for Image Classification
Soft Augmentation for Image Classification
Yang Liu
Shen Yan
Laura Leal-Taixé
James Hays
Deva Ramanan
29
11
0
09 Nov 2022
Soft-labeling Strategies for Rapid Sub-Typing
Soft-labeling Strategies for Rapid Sub-Typing
Grant Rosario
David A. Noever
Matt Ciolino
41
1
0
23 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition
Inverse Image Frequency for Long-tailed Image Recognition
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
S. Zafeiriou
40
9
0
11 Sep 2022
Object Detection for Autonomous Dozers
Object Detection for Autonomous Dozers
Chunfang Liu
Burhaneddin Yaman
16
2
0
17 Aug 2022
Eliciting and Learning with Soft Labels from Every Annotator
Eliciting and Learning with Soft Labels from Every Annotator
K. M. Collins
Umang Bhatt
Adrian Weller
11
44
0
02 Jul 2022
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty
  Improve Model Performance?
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?
Christoph Koller
Goran Kauermann
Xiao Xiang Zhu
UQCV
16
6
0
30 May 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
15
60
0
30 Mar 2022
Representation Compensation Networks for Continual Semantic Segmentation
Representation Compensation Networks for Continual Semantic Segmentation
Chang-Bin Zhang
Jianqiang Xiao
Xialei Liu
Ying-Cong Chen
Mingg-Ming Cheng
SSeg
CLL
37
93
0
10 Mar 2022
Adaptive Discriminative Regularization for Visual Classification
Adaptive Discriminative Regularization for Visual Classification
Qingsong Zhao
Yi Wang
Shuguang Dou
Chen Gong
Yin Wang
Cairong Zhao
18
0
0
02 Mar 2022
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
Yin-Yin He
Peizhen Zhang
Xiu-Shen Wei
X. Zhang
Jian-jun Sun
ISeg
21
24
0
08 Jan 2022
Structure-Aware Label Smoothing for Graph Neural Networks
Structure-Aware Label Smoothing for Graph Neural Networks
Yiwei Wang
Yujun Cai
Yuxuan Liang
Wei Wang
Henghui Ding
Muhao Chen
Jing Tang
Bryan Hooi
26
3
0
01 Dec 2021
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning
  to Segment Driveability in Egocentric Images
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
Galadrielle Humblot-Renaux
Letizia Marchegiani
T. Moeslund
Rikke Gade
SSeg
EgoV
28
14
0
15 Sep 2021
Jitter: Random Jittering Loss Function
Jitter: Random Jittering Loss Function
Zhicheng Cai
Chenglei Peng
S. Du
11
3
0
25 Jun 2021
Salient Objects in Clutter
Salient Objects in Clutter
Deng-Ping Fan
Jing Zhang
Gang Xu
Mingg-Ming Cheng
Ling Shao
34
42
0
07 May 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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