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A patch-based architecture for multi-label classification from single
  label annotations

A patch-based architecture for multi-label classification from single label annotations

14 September 2022
Warren Jouanneau
Aurélie Bugeau
Marc Palyart
Nicolas Papadakis
Laurent Vézard
ArXivPDFHTML

Papers citing "A patch-based architecture for multi-label classification from single label annotations"

27 / 27 papers shown
Title
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric
  Guidance
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance
Tianchen Zhao
Niansong Zhang
Xuefei Ning
He Wang
Li Yi
Yu Wang
3DPC
ViT
43
9
0
18 Mar 2022
Spatial Consistency Loss for Training Multi-Label Classifiers from
  Single-Label Annotations
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations
Thomas Verelst
Paul Kishan Rubenstein
M. Eichner
Tinne Tuytelaars
Maxim Berman
45
20
0
11 Mar 2022
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
250
407
0
24 Jan 2022
Early Convolutions Help Transformers See Better
Early Convolutions Help Transformers See Better
Tete Xiao
Mannat Singh
Eric Mintun
Trevor Darrell
Piotr Dollár
Ross B. Girshick
45
765
0
28 Jun 2021
Multi-Label Learning from Single Positive Labels
Multi-Label Learning from Single Positive Labels
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
73
114
0
17 Jun 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image
  Classification
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
Chun-Fu Chen
Quanfu Fan
Yikang Shen
ViT
68
1,469
0
27 Mar 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLM
ViT
MDE
168
1,014
0
04 Mar 2021
General Multi-label Image Classification with Transformers
General Multi-label Image Classification with Transformers
Jack Lanchantin
Tianlu Wang
Vicente Ordonez
Yanjun Qi
ViT
56
266
0
27 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
538
40,739
0
22 Oct 2020
Feature Pyramid Transformer
Feature Pyramid Transformer
Dong Zhang
Hanwang Zhang
Jinhui Tang
Meng Wang
Xiansheng Hua
Qianru Sun
ViT
53
254
0
18 Jul 2020
Presence-Only Geographical Priors for Fine-Grained Image Classification
Presence-Only Geographical Priors for Fine-Grained Image Classification
Oisin Mac Aodha
Elijah Cole
Pietro Perona
66
166
0
12 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
131
18,058
0
28 May 2019
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
Yang You
Jing Li
Sashank J. Reddi
Jonathan Hseu
Sanjiv Kumar
Srinadh Bhojanapalli
Xiaodan Song
J. Demmel
Kurt Keutzer
Cho-Jui Hsieh
ODL
216
993
0
01 Apr 2019
Learning from positive and unlabeled data: a survey
Learning from positive and unlabeled data: a survey
Jessa Bekker
Jesse Davis
72
560
0
12 Nov 2018
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
159
1,811
0
13 Feb 2018
From BoW to CNN: Two Decades of Texture Representation for Texture
  Classification
From BoW to CNN: Two Decades of Texture Representation for Texture Classification
Li Liu
Jie Chen
Paul Fieguth
Guoying Zhao
Rama Chellappa
M. Pietikäinen
3DV
74
335
0
31 Jan 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
642
130,942
0
12 Jun 2017
Nonconvex penalties with analytical solutions for one-bit compressive
  sensing
Nonconvex penalties with analytical solutions for one-bit compressive sensing
Xiaolin Huang
Ming Yan
67
29
0
04 Jun 2017
Learning from Complementary Labels
Learning from Complementary Labels
Takashi Ishida
Gang Niu
Weihua Hu
Masashi Sugiyama
53
167
0
22 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
344
27,129
0
20 Mar 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
360
2,459
0
10 Mar 2017
Multiple Instance Learning: A Survey of Problem Characteristics and
  Applications
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
M. Carbonneau
Veronika Cheplygina
Eric Granger
G. Gagnon
59
625
0
11 Dec 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
262
19,929
0
07 Oct 2016
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
660
36,801
0
08 Jun 2015
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
473
62,122
0
04 Jun 2015
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
379
43,524
0
01 May 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
281
6,274
0
16 Dec 2013
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