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Revisiting Multiple Instance Neural Networks

Revisiting Multiple Instance Neural Networks

8 October 2016
Xinggang Wang
Yongluan Yan
Peng Tang
X. Bai
Wenyu Liu
ArXivPDFHTML

Papers citing "Revisiting Multiple Instance Neural Networks"

50 / 139 papers shown
Title
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance
  Whole Slide Image Classification
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification
Daniel Sens
Ario Sadafi
F. P. Casale
Nassir Navab
Carsten Marr
ViT
MedIm
21
1
0
02 Mar 2023
Multiple Instance Learning with Trainable Decision Tree Ensembles
Multiple Instance Learning with Trainable Decision Tree Ensembles
A. Konstantinov
Lev V. Utkin
25
0
0
13 Feb 2023
Dual Memory Units with Uncertainty Regulation for Weakly Supervised
  Video Anomaly Detection
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
Hang Zhou
Junqing Yu
Wei Yang
27
64
0
10 Feb 2023
Probabilistic Attention based on Gaussian Processes for Deep Multiple
  Instance Learning
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning
Arne Schmidt
Pablo Morales-Álvarez
Rafael Molina
29
13
0
08 Feb 2023
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical
  Attention-Guided Multiple Instance Learning for Whole Slide Image
  Classification
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Conghao Xiong
Hao Chen
Joseph J. Y. Sung
Irwin King
MedIm
26
36
0
19 Jan 2023
Attention2Minority: A salient instance inference-based multiple instance
  learning for classifying small lesions in whole slide images
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images
Ziyu Su
Mostafa Rezapour
Usama Sajjad
M. Gürcan
M. Niazi
22
11
0
18 Jan 2023
Detecting Neighborhood Gentrification at Scale via Street-level Visual
  Data
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data
Tianyuan Huang
Timothy Dai
Zhecheng Wang
Hesu Yoon
Hao Sheng
Andrew Y. Ng
Ram Rajagopal
Jackelyn Hwang
28
4
0
04 Jan 2023
COmic: Convolutional Kernel Networks for Interpretable End-to-End
  Learning on (Multi-)Omics Data
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data
Jonas C. Ditz
Bernhard Reuter
Nícolas Pfeifer
29
1
0
02 Dec 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training
  Towards Enhanced Recognition of Biomedical Microscopy Images
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images
Wei Chen
Chen Li
Dan Chen
Xin Luo
MedIm
SSL
38
12
0
27 Nov 2022
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land
  Cover Classification
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification
Joseph Early
Y.-J. C. Deweese
C. Evers
Sarvapali Ramchurn
21
1
0
15 Nov 2022
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide
  Image Classification
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Linhao Qu
Xiao-Zhuo Luo
Manning Wang
Zhijian Song
WSOD
26
59
0
07 Oct 2022
Multi-Scale Attention-based Multiple Instance Learning for
  Classification of Multi-Gigapixel Histology Images
Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images
Made Satria Wibawa
K. Lo
Lawrence S Young
Nasir M. Rajpoot
24
12
0
07 Sep 2022
EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning
EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning
R. Gupta
Shivani Nandgaonkar
Nikhil Cherian Kurian
S. Rane
A. Sethi
MedIm
39
7
0
26 Aug 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
28
57
0
18 Aug 2022
Multiple Instance Neural Networks Based on Sparse Attention for Cancer
  Detection using T-cell Receptor Sequences
Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences
Younghoon Kim
Tao Wang
Danyi Xiong
Xinlei Wang
S. Park
29
9
0
09 Aug 2022
Psychophysiological Arousal in Young Children Who Stutter: An
  Interpretable AI Approach
Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach
Harshit Sharma
Yi Xiao
V. Tumanova
Asif Salekin
20
6
0
03 Aug 2022
Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption
Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption
Jiazhi Guan
Hang Zhou
Biwei Huang
Errui Ding
Jingdong Wang
Youjian Zhao
35
10
0
21 Jul 2022
Feature Re-calibration based Multiple Instance Learning for Whole Slide
  Image Classification
Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification
Philip Chikontwe
S. Nam
H. Go
Meejeong Kim
H. Sung
Sang Hyun Park
22
20
0
22 Jun 2022
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image
  Pyramids for Cancer Prognosis
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis
Pei Liu
Bo Fu
Feng Ye
Rui Yang
Bin Xu
Luping Ji
13
24
0
12 Jun 2022
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable
  Multiple Instance Learning
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning
Joseph Early
Tom Bewley
C. Evers
Sarvapali Ramchurn
OffRL
24
15
0
30 May 2022
Go Beyond Multiple Instance Neural Networks: Deep-learning Models based
  on Local Pattern Aggregation
Go Beyond Multiple Instance Neural Networks: Deep-learning Models based on Local Pattern Aggregation
Linpeng Jin
11
1
0
28 May 2022
Attention Awareness Multiple Instance Neural Network
Attention Awareness Multiple Instance Neural Network
Jingjun Yi
Beichen Zhou
9
1
0
27 May 2022
Learning Instance Representation Banks for Aerial Scene Classification
Learning Instance Representation Banks for Aerial Scene Classification
Jingjun Yi
Beichen Zhou
12
1
0
27 May 2022
All Grains, One Scheme (AGOS): Learning Multi-grain Instance
  Representation for Aerial Scene Classification
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification
Qi Bi
Beichen Zhou
K. Qin
Qinghao Ye
Guisong Xia
18
39
0
06 May 2022
A Multi-stage deep architecture for summary generation of soccer videos
A Multi-stage deep architecture for summary generation of soccer videos
Melissa Sanabria
F. Precioso
Pierre-Alexandre Mattei
Thomas Menguy
28
6
0
02 May 2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level
  Prediction
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
Tiancheng Lin
Hongteng Xu
Canqian Yang
Yi Xu
27
24
0
20 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
24
112
0
28 Mar 2022
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning
  for Histopathology Whole Slide Image Classification
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Hongrun Zhang
Y. Meng
Yitian Zhao
Yihong Qiao
Xiaoyun Yang
Sarah E Coupland
Yalin Zheng
37
276
0
22 Mar 2022
Metastatic Cancer Outcome Prediction with Injective Multiple Instance
  Pooling
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling
Jianan Chen
Anne L. Martel
30
2
0
09 Mar 2022
Multi-Instance Causal Representation Learning for Instance Label
  Prediction and Out-of-Distribution Generalization
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Weijia Zhang
Xuanhui Zhang
Hanwen Deng
Min-Ling Zhang
14
22
0
25 Feb 2022
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural
  Networks
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks
Soumyasundar Pal
Antonios Valkanas
Florence Regol
Mark J. Coates
SSL
35
16
0
22 Feb 2022
Model Agnostic Interpretability for Multiple Instance Learning
Model Agnostic Interpretability for Multiple Instance Learning
Joseph Early
C. Evers
Sarvapali Ramchurn
13
11
0
27 Jan 2022
Interpretable and Interactive Deep Multiple Instance Learning for Dental
  Caries Classification in Bitewing X-rays
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays
Benjamin Bergner
Csaba Rohrer
Aiham Taleb
Martha Duchrau
Guilherme De Leon
J. A. Rodrigues
F. Schwendicke
J. Krois
C. Lippert
30
1
0
17 Dec 2021
Multi-Attention Multiple Instance Learning
Multi-Attention Multiple Instance Learning
A. Konstantinov
Lev V. Utkin
28
13
0
11 Dec 2021
LogAvgExp Provides a Principled and Performant Global Pooling Operator
LogAvgExp Provides a Principled and Performant Global Pooling Operator
S. Lowe
Thomas Trappenberg
Sageev Oore
FAtt
21
2
0
02 Nov 2021
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations
  on Single Whole-Slide Images
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
Zhenzhen Wang
Carla Saoud
A. Popel
Aaron W. James
Aleksander S. Popel
Jeremias Sulam
21
21
0
22 Sep 2021
ProtoMIL: Multiple Instance Learning with Prototypical Parts for
  Whole-Slide Image Classification
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification
Dawid Rymarczyk
Adam Pardyl
Jaroslaw Kraus
Aneta Kaczyńska
M. Skomorowski
Bartosz Zieliñski
17
21
0
24 Aug 2021
COVID-view: Diagnosis of COVID-19 using Chest CT
COVID-view: Diagnosis of COVID-19 using Chest CT
Shreeraj Jadhav
Gaofeng Deng
M. Zawin
Arie Kaufman
46
18
0
09 Aug 2021
Explainable Deep Few-shot Anomaly Detection with Deviation Networks
Explainable Deep Few-shot Anomaly Detection with Deviation Networks
Guansong Pang
Choubo Ding
Chunhua Shen
Anton Van Den Hengel
21
87
0
01 Aug 2021
TransMIL: Transformer based Correlated Multiple Instance Learning for
  Whole Slide Image Classification
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhucheng Shao
Hao Bian
Yang Chen
Yifeng Wang
Jian Zhang
Xiangyang Ji
Yongbing Zhang
ViT
MedIm
37
635
0
02 Jun 2021
Sharing Pain: Using Pain Domain Transfer for Video Recognition of Low
  Grade Orthopedic Pain in Horses
Sharing Pain: Using Pain Domain Transfer for Video Recognition of Low Grade Orthopedic Pain in Horses
Sofia Broomé
K. Ask
Maheen Rashid-Engström
Pia Haubro Andersen
Hedvig Kjellström
18
12
0
21 May 2021
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag
  Labels using Variational Auto-Encoder
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder
Weijia Zhang
27
12
0
04 May 2021
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance
  Learning and Radiomics
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics
Junhua Chen
H. Zeng
Chong Zhang
Zhenwei Shi
Andre Dekker
L. Wee
Inigo Bermejo
21
25
0
29 Apr 2021
Weakly Supervised Object Localization and Detection: A Survey
Weakly Supervised Object Localization and Detection: A Survey
Dingwen Zhang
Junwei Han
Gong Cheng
Ming-Hsuan Yang
WSOD
23
270
0
16 Apr 2021
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for
  Microscopy Image Classification
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification
Yanlun Tu
Houchao Lei
Wei Long
Yang Yang
33
16
0
17 Mar 2021
Learning with Group Noise
Learning with Group Noise
Qizhou Wang
Jiangchao Yao
Chen Gong
Tongliang Liu
Biwei Huang
Hongxia Yang
Bo Han
9
10
0
17 Mar 2021
A Global-local Attention Framework for Weakly Labelled Audio Tagging
A Global-local Attention Framework for Weakly Labelled Audio Tagging
Helin Wang
Yuexian Zou
Wenwu Wang
11
6
0
03 Feb 2021
Multi-Instance Learning by Utilizing Structural Relationship among
  Instances
Multi-Instance Learning by Utilizing Structural Relationship among Instances
Yangling Ma
Zhouwang Yang
14
4
0
03 Feb 2021
Learning Self-Consistency for Deepfake Detection
Learning Self-Consistency for Deepfake Detection
Tianchen Zhao
Xiang Xu
Mingze Xu
Hui Ding
Yuanjun Xiong
Wei Xia
SSL
45
261
0
16 Dec 2020
AMINN: Autoencoder-based Multiple Instance Neural Network Improves
  Outcome Prediction of Multifocal Liver Metastases
AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases
Jianan Chen
H. Cheung
L. Milot
Anne L. Martel
11
13
0
12 Dec 2020
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