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Improved Bilinear Pooling with CNNs

Improved Bilinear Pooling with CNNs

21 July 2017
Tsung-Yu Lin
Subhransu Maji
ArXivPDFHTML

Papers citing "Improved Bilinear Pooling with CNNs"

37 / 37 papers shown
Title
Conditional Temporal Neural Processes with Covariance Loss
Conditional Temporal Neural Processes with Covariance Loss
Boseon Yoo
Jiwoo Lee
Janghoon Ju
Seijun Chung
Soyeon Kim
Jaesik Choi
70
15
0
01 Apr 2025
Learning Partial Correlation based Deep Visual Representation for Image
  Classification
Learning Partial Correlation based Deep Visual Representation for Image Classification
Saimunur Rahman
Piotr Koniusz
Lei Wang
Luping Zhou
Peyman Moghadam
Changming Sun
SSL
39
9
0
23 Apr 2023
Batch-efficient EigenDecomposition for Small and Medium Matrices
Batch-efficient EigenDecomposition for Small and Medium Matrices
Yue Song
N. Sebe
Wei Wang
32
2
0
09 Jul 2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual
  Recognition
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
Yue Song
N. Sebe
Wei Wang
40
33
0
26 May 2022
Fine-Grained Visual Classification using Self Assessment Classifier
Fine-Grained Visual Classification using Self Assessment Classifier
Tuong Khanh Long Do
Huy Tran
Erman Tjiputra
Quang-Dieu Tran
Anh Nguyen
37
12
0
21 May 2022
Fast Differentiable Matrix Square Root and Inverse Square Root
Fast Differentiable Matrix Square Root and Inverse Square Root
Yue Song
N. Sebe
Wei Wang
29
16
0
29 Jan 2022
Fast Differentiable Matrix Square Root
Fast Differentiable Matrix Square Root
Yue Song
N. Sebe
Wei Wang
19
14
0
21 Jan 2022
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge Belongie
74
279
0
11 Nov 2021
Fine-Grained Adversarial Semi-supervised Learning
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai
F. Pernici
F. Turchini
A. Bimbo
30
8
0
12 Oct 2021
High-order Tensor Pooling with Attention for Action Recognition
High-order Tensor Pooling with Attention for Action Recognition
Lei Wang
Ke Sun
Piotr Koniusz
38
15
0
11 Oct 2021
A Compositional Feature Embedding and Similarity Metric for
  Ultra-Fine-Grained Visual Categorization
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization
Yajie Sun
Miaohua Zhang
Xiaohan Yu
Yi Liao
Yongsheng Gao
24
5
0
25 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural
  Networks
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks
Jieming Zhou
Tong Zhang
Pengfei Fang
L. Petersson
Mehrtash Harandi
GNN
31
1
0
20 Sep 2021
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained
  Visual Categorization
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization
Zicheng Pan
Xiaohan Yu
Miaohua Zhang
Yongsheng Gao
23
5
0
16 Sep 2021
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
Jun Wang
Xiaohan Yu
Yongsheng Gao
ViT
43
105
0
06 Jul 2021
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global
  Covariance Pooling?
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?
Yue Song
N. Sebe
Wei Wang
33
25
0
06 May 2021
Tensor Representations for Action Recognition
Tensor Representations for Action Recognition
Piotr Koniusz
Lei Wang
A. Cherian
41
69
0
28 Dec 2020
LQF: Linear Quadratic Fine-Tuning
LQF: Linear Quadratic Fine-Tuning
Alessandro Achille
Aditya Golatkar
Avinash Ravichandran
M. Polito
Stefano Soatto
31
27
0
21 Dec 2020
Salvage Reusable Samples from Noisy Data for Robust Learning
Salvage Reusable Samples from Noisy Data for Robust Learning
Zeren Sun
Xiansheng Hua
Yazhou Yao
Xiu-Shen Wei
Guosheng Hu
Jian Zhang
NoLa
29
41
0
06 Aug 2020
Approximated Bilinear Modules for Temporal Modeling
Approximated Bilinear Modules for Temporal Modeling
Xinqi Zhu
Chang Xu
Langwen Hui
Cewu Lu
Dacheng Tao
25
23
0
25 Jul 2020
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for
  Radiological Osteoarthritis Detection
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection
N. Bayramoglu
M. Nieminen
S. Saarakkala
MedIm
11
7
0
24 May 2020
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene
  Classification
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification
Shidong Wang
Yu Guan
Ling Shao
25
97
0
09 Apr 2020
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Shaobo Min
Hantao Yao
Hongtao Xie
Zhengjun Zha
Yongdong Zhang
28
65
0
30 Mar 2020
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization
  Perspective
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Qilong Wang
Li Zhang
Banggu Wu
Dongwei Ren
P. Li
W. Zuo
Q. Hu
22
21
0
25 Mar 2020
Wasserstein-based Graph Alignment
Wasserstein-based Graph Alignment
Hermina Petric Maretic
Mireille El Gheche
Matthias Minder
Giovanni Chierchia
P. Frossard
OT
12
23
0
12 Mar 2020
ACE: Adaptive Confusion Energy for Natural World Data Distribution
ACE: Adaptive Confusion Energy for Natural World Data Distribution
Yen-Chi Hsu
Cheng-Yao Hong
Ding-Jie Chen
Ming-Sui Lee
D. Geiger
Tyng-Luh Liu
17
4
0
28 Oct 2019
Attention Convolutional Binary Neural Tree for Fine-Grained Visual
  Categorization
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
Ruyi Ji
Longyin Wen
Libo Zhang
Dawei Du
Ynajun Wu
Chen Zhao
Xianglong Liu
Feiyue Huang
29
163
0
25 Sep 2019
REAPS: Towards Better Recognition of Fine-grained Images by Region
  Attending and Part Sequencing
REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing
Peng Zhang
Xinyu Zhu
Zhanzhan Cheng
Shuigeng Zhou
Yi Niu
29
1
0
06 Aug 2019
GOT: An Optimal Transport framework for Graph comparison
GOT: An Optimal Transport framework for Graph comparison
Hermina Petric Maretic
Mireille El Gheche
Giovanni Chierchia
P. Frossard
OT
25
118
0
05 Jun 2019
See Better Before Looking Closer: Weakly Supervised Data Augmentation
  Network for Fine-Grained Visual Classification
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
Tao Hu
H. Qi
Qingming Huang
Yan Lu
19
231
0
26 Jan 2019
Boosting Standard Classification Architectures Through a Ranking
  Regularizer
Boosting Standard Classification Architectures Through a Ranking Regularizer
Ahmed Taha
Yi-Ting Chen
Teruhisa Misu
Abhinav Shrivastava
L. Davis
12
17
0
24 Jan 2019
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from
  Sparse Event Data
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data
Chengxi Ye
A. Mitrokhin
Cornelia Fermuller
J. Yorke
Yiannis Aloimonos
MDE
27
37
0
23 Sep 2018
Maximum-Entropy Fine-Grained Classification
Maximum-Entropy Fine-Grained Classification
Abhimanyu Dubey
O. Gupta
Ramesh Raskar
Nikhil Naik
28
156
0
16 Sep 2018
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D
  Reconstruction
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
Bo Yang
Sen Wang
Andrew Markham
Niki Trigoni
3DPC
3DV
29
138
0
02 Aug 2018
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem
Z. Ge
Dwarikanath Mahapatra
S. Sedai
R. Garnavi
R. Chakravorty
25
50
0
19 Jul 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer
  Learning
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Huayu Chen
Yang Song
Chen Sun
Andrew G. Howard
Serge J. Belongie
25
475
0
16 Jun 2018
Deep Attentional Structured Representation Learning for Visual
  Recognition
Deep Attentional Structured Representation Learning for Visual Recognition
K. K. Nakka
Mathieu Salzmann
33
10
0
14 May 2018
Towards Faster Training of Global Covariance Pooling Networks by
  Iterative Matrix Square Root Normalization
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
P. Li
Jiangtao Xie
Qilong Wang
Zilin Gao
27
255
0
04 Dec 2017
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