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Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
v1v2v3v4v5 (latest)

Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels

11 February 2023
Zifu Wang
Xuefei Ning
Matthew B. Blaschko
    VLM
ArXiv (abs)PDFHTMLGithub (52★)

Papers citing "Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels"

42 / 42 papers shown
Title
TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging
TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging
L. Ruzicka
Bernhard Kohn
Clemens Heitzinger
205
0
0
10 Jan 2025
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
Zifu Wang
Teodora Popordanoska
J. Bertels
Robin Lemmens
Matthew B. Blaschko
47
10
0
28 Mar 2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Sanghyun Woo
Shoubhik Debnath
Ronghang Hu
Xinlei Chen
Zhuang Liu
In So Kweon
Saining Xie
SyDa
149
800
0
02 Jan 2023
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised
  Semantic Segmentation
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Zhen Zhao
Lihe Yang
Sifan Long
Jimin Pi
Luping Zhou
Jingdong Wang
92
77
0
09 Dec 2022
Instance-specific and Model-adaptive Supervision for Semi-supervised
  Semantic Segmentation
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
Zhen Zhao
Sifan Long
Jimin Pi
Jingdong Wang
Luping Zhou
78
34
0
21 Nov 2022
InternImage: Exploring Large-Scale Vision Foundation Models with
  Deformable Convolutions
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Wenhai Wang
Jifeng Dai
Zhe Chen
Zhenhang Huang
Zhiqi Li
...
Tong Lu
Lewei Lu
Hongsheng Li
Xiaogang Wang
Yu Qiao
VLM
137
685
0
10 Nov 2022
A Consistent and Differentiable Lp Canonical Calibration Error Estimator
A Consistent and Differentiable Lp Canonical Calibration Error Estimator
Teodora Popordanoska
Raphael Sayer
Matthew B. Blaschko
UQCV
82
34
0
13 Oct 2022
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic
  Segmentation
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
Lihe Yang
Lei Qi
Xue Jiang
Wayne Zhang
Yinghuan Shi
62
262
0
21 Aug 2022
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
Qihang Yu
Huiyu Wang
Dahun Kim
Siyuan Qiao
Maxwell D. Collins
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
ViTMedIm
97
92
0
17 Jun 2022
Metrics reloaded: Recommendations for image analysis validation
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein
Annika Reinke
Patrick Godau
M. Tizabi
Florian Buettner
...
Aleksei Tiulpin
Sotirios A. Tsaftaris
Ben Van Calster
Gaël Varoquaux
Paul F. Jäger
79
233
0
03 Jun 2022
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
Chuanguang Yang
Helong Zhou
Zhulin An
Xue Jiang
Yong Xu
Qian Zhang
119
176
0
14 Apr 2022
Decoupled Knowledge Distillation
Decoupled Knowledge Distillation
Borui Zhao
Quan Cui
Renjie Song
Yiyu Qiu
Jiajun Liang
74
544
0
16 Mar 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
171
5,192
0
10 Jan 2022
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
253
2,374
0
02 Dec 2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic
  Segmentation
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Yuyuan Liu
Yu Tian
Yuanhong Chen
Fengbei Liu
Vasileios Belagiannis
G. Carneiro
76
188
0
25 Nov 2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng
Alex Schwing
Alexander Kirillov
VLMViT
210
1,548
0
13 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
309
5,051
0
31 May 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Xingchen Ma
Matthew B. Blaschko
64
36
0
10 May 2021
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks
Hao Li
Tianwen Fu
Jifeng Dai
Hongsheng Li
Gao Huang
Xizhou Zhu
80
29
0
25 Mar 2021
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance
  Tradeoff Perspective
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective
Helong Zhou
Liangchen Song
Jiajie Chen
Ye Zhou
Guoli Wang
Junsong Yuan
Qian Zhang
67
175
0
01 Feb 2021
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Huiyu Wang
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
ViT
126
531
0
01 Dec 2020
Local Temperature Scaling for Probability Calibration
Local Temperature Scaling for Probability Calibration
Zhipeng Ding
Xu Han
Peirong Liu
Marc Niethammer
100
81
0
12 Aug 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
424
13,094
0
26 May 2020
AOWS: Adaptive and optimal network width search with latency constraints
AOWS: Adaptive and optimal network width search with latency constraints
Maxim Berman
Leonid Pischulin
N. Xu
Matthew B. Blaschko
Gérard Medioni
63
29
0
21 May 2020
Understanding and Improving Knowledge Distillation
Understanding and Improving Knowledge Distillation
Jiaxi Tang
Rakesh Shivanna
Zhe Zhao
Dong Lin
Anima Singh
Ed H. Chi
Sagar Jain
83
131
0
10 Feb 2020
Blockwisely Supervised Neural Architecture Search with Knowledge
  Distillation
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation
Changlin Li
Jiefeng Peng
Liuchun Yuan
Guangrun Wang
Xiaodan Liang
Liang Lin
Xiaojun Chang
100
182
0
29 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
309
2,387
0
11 Nov 2019
Dice Loss for Data-imbalanced NLP Tasks
Dice Loss for Data-imbalanced NLP Tasks
Xiaoya Li
Xiaofei Sun
Yuxian Meng
Junjun Liang
Leilei Gan
Jiwei Li
89
581
0
07 Nov 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
207
1,953
0
06 Jun 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
620
4,798
0
13 May 2019
Structured Knowledge Distillation for Dense Prediction
Structured Knowledge Distillation for Dense Prediction
Yifan Liu
Chris Liu
Jingdong Wang
Zhenbo Luo
75
584
0
11 Mar 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
85
555
0
21 Dec 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
477
13,168
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
186
19,316
0
13 Jan 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
282
9,797
0
25 Oct 2017
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
124
2,149
0
11 Jul 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
232
8,481
0
17 Jun 2017
A note on the triangle inequality for the Jaccard distance
A note on the triangle inequality for the Jaccard distance
Sven Kosub
62
222
0
08 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,030
0
04 Dec 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,566
0
07 Oct 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
11,641
0
06 Apr 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,412
0
02 Dec 2015
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