ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.08050
  4. Cited By
Is Second-order Information Helpful for Large-scale Visual Recognition?
v1v2v3 (latest)

Is Second-order Information Helpful for Large-scale Visual Recognition?

23 March 2017
P. Li
Jiangtao Xie
Qilong Wang
W. Zuo
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Is Second-order Information Helpful for Large-scale Visual Recognition?"

50 / 76 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
155
15
0
01 Apr 2025
Fast 3D point clouds retrieval for Large-scale 3D Place Recognition
Fast 3D point clouds retrieval for Large-scale 3D Place Recognition
Chahine-Nicolas Zede
Laurent Carrafa
Valérie Gouet-Brunet
3DPC
163
0
0
28 Feb 2025
Classification of Buried Objects from Ground Penetrating Radar Images by
  using Second Order Deep Learning Models
Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models
Douba Jafuno
A. Mian
G. Ginolhac
Nickolas Stelzenmuller
61
0
0
20 Sep 2024
Down-Sampling Inter-Layer Adapter for Parameter and Computation
  Efficient Ultra-Fine-Grained Image Recognition
Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image Recognition
Edwin Arkel Rios
Femiloye Oyerinde
Min-Chun Hu
Bo-Cheng Lai
67
0
0
17 Sep 2024
Analytical Solution of a Three-layer Network with a Matrix Exponential
  Activation Function
Analytical Solution of a Three-layer Network with a Matrix Exponential Activation Function
Kuo Gai
Shihua Zhang
FAtt
62
0
0
02 Jul 2024
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
Nick Nikzad
Yongsheng Gao
Jun Zhou
59
1
0
09 May 2024
Efficient Higher-order Convolution for Small Kernels in Deep Learning
Efficient Higher-order Convolution for Small Kernels in Deep Learning
Zuocheng Wen
Lingzhong Guo
36
0
0
25 Apr 2024
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical
  Image Classification
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification
Zhenwei Wang
Qiule Sun
Bingbing Zhang
Pengfei Wang
Jianxin Zhang
Qiang Zhang
VLM
88
1
0
13 Apr 2024
ELA: Efficient Local Attention for Deep Convolutional Neural Networks
ELA: Efficient Local Attention for Deep Convolutional Neural Networks
Wei Xu
Yi Wan
85
42
0
02 Mar 2024
Tuning Pre-trained Model via Moment Probing
Tuning Pre-trained Model via Moment Probing
Mingze Gao
Qilong Wang
Zhenyi Lin
Pengfei Zhu
Qinghua Hu
Jingbo Zhou
74
8
0
21 Jul 2023
Improving Deep Representation Learning via Auxiliary Learnable Target
  Coding
Improving Deep Representation Learning via Auxiliary Learnable Target Coding
Kang Liu
Ke Chen
Yaowei Wang
Kui Jia
90
1
0
30 May 2023
Survey of Automatic Plankton Image Recognition: Challenges, Existing
  Solutions and Future Perspectives
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives
T. Eerola
Daniel Batrakhanov
Nastaran Vatankhah Barazandeh
K. Kraft
Lumi Haraguchi
L. Lensu
S. Suikkanen
Jukka Seppälä
T. Tamminen
Heikki Kälviäinen
82
12
0
19 May 2023
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
100
9
0
23 Apr 2023
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Yue Song
N. Sebe
Wei Wang
82
6
0
11 Dec 2022
3DEG: Data-Driven Descriptor Extraction for Global re-localization in
  subterranean environments
3DEG: Data-Driven Descriptor Extraction for Global re-localization in subterranean environments
Nikolaos Stathoulopoulos
A. Koval
G. Nikolakopoulos
3DPC
93
10
0
13 Oct 2022
Convolutional Fine-Grained Classification with Self-Supervised Target
  Relation Regularization
Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization
Kang Liu
Ke Chen
Kui Jia
89
28
0
03 Aug 2022
Batch-efficient EigenDecomposition for Small and Medium Matrices
Batch-efficient EigenDecomposition for Small and Medium Matrices
Yue Song
N. Sebe
Wei Wang
85
2
0
09 Jul 2022
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Yue Song
N. Sebe
Wei Wang
88
8
0
05 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
103
35
0
26 May 2022
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG
  Images with Curriculum Learning
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning
Soumen Basu
Mayank Gupta
Pratyaksha Rana
Pankaj Gupta
Chetan Arora
64
32
0
25 Apr 2022
Visual Attention Methods in Deep Learning: An In-Depth Survey
Visual Attention Methods in Deep Learning: An In-Depth Survey
Mohammed Hassanin
Saeed Anwar
Ibrahim Radwan
Fahad Shahbaz Khan
Ajmal Mian
136
166
0
16 Apr 2022
Bi-directional Object-context Prioritization Learning for Saliency
  Ranking
Bi-directional Object-context Prioritization Learning for Saliency Ranking
Xin Tian
Ke Xu
Xin Yang
Lin Du
Baocai Yin
Rynson W. H. Lau
86
25
0
17 Mar 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
100
17
0
29 Jan 2022
Fast Differentiable Matrix Square Root
Fast Differentiable Matrix Square Root
Yue Song
N. Sebe
Wei Wang
93
14
0
21 Jan 2022
GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix
  Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition
GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition
X. Nguyen
3DH
48
33
0
25 Nov 2021
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
137
296
0
11 Nov 2021
Temporal-attentive Covariance Pooling Networks for Video Recognition
Temporal-attentive Covariance Pooling Networks for Video Recognition
Zilin Gao
Qilong Wang
Bingbing Zhang
Q. Hu
P. Li
107
25
0
27 Oct 2021
Distribution Knowledge Embedding for Graph Pooling
Distribution Knowledge Embedding for Graph Pooling
Kaixuan Chen
Mingli Song
Shunyu Liu
Na Yu
Zunlei Feng
Gengshi Han
Xiuming Zhang
GNN
84
23
0
29 Sep 2021
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place
  Recognition
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition
Kavisha Vidanapathirana
Milad Ramezani
Peyman Moghadam
Sridha Sridharan
Clinton Fookes
3DPC3DV
116
85
0
17 Sep 2021
Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual
  Categorization
Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization
M. Gwilliam
Adam Teuscher
Connor Anderson
Ryan Farrell
52
13
1
07 Sep 2021
Reconciliation of Statistical and Spatial Sparsity For Robust Image and
  Image-Set Classification
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification
Hao Cheng
Kim-Hui Yap
Bihan Wen
46
0
0
01 Jun 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
107
25
0
06 May 2021
SoT: Delving Deeper into Classification Head for Transformer
SoT: Delving Deeper into Classification Head for Transformer
Jiangtao Xie
Rui Zeng
Qilong Wang
Ziqi Zhou
P. Li
ViT
86
12
0
22 Apr 2021
A Two-Stage Attentive Network for Single Image Super-Resolution
A Two-Stage Attentive Network for Single Image Super-Resolution
Jiqing Zhang
Chengjiang Long
Yuxin Wang
Haiyin Piao
Haiyang Mei
Xin Yang
Baocai Yin
SupR
100
61
0
21 Apr 2021
Adversarial Examples Detection beyond Image Space
Adversarial Examples Detection beyond Image Space
Kejiang Chen
YueFeng Chen
Hang Zhou
Chuan Qin
Xiaofeng Mao
Weiming Zhang
Nenghai Yu
AAML
42
9
0
23 Feb 2021
Kernelized Classification in Deep Networks
Kernelized Classification in Deep Networks
Sadeep Jayasumana
Srikumar Ramalingam
Sanjiv Kumar
34
4
0
08 Dec 2020
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order
  Pooling
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling
Kavisha Vidanapathirana
Peyman Moghadam
Ben Harwood
Muming Zhao
Sridha Sridharan
Clinton Fookes
3DPC
92
81
0
30 Nov 2020
Invariant Deep Compressible Covariance Pooling for Aerial Scene
  Categorization
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization
Shidong Wang
Yi Ren
G. Parr
Yu Guan
Ling Shao
46
19
0
11 Nov 2020
Intelligent Matrix Exponentiation
Intelligent Matrix Exponentiation
T. Fischbacher
Iulia Comsa
Krzysztof Potempa
Moritz Firsching
Luca Versari
J. Alakuijala
23
2
0
10 Aug 2020
SOFA-Net: Second-Order and First-order Attention Network for Crowd
  Counting
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting
Haoran Duan
Shidong Wang
Yu Guan
EgoV
116
15
0
09 Aug 2020
Facing the Hard Problems in FGVC
Facing the Hard Problems in FGVC
Connor Anderson
M. Gwilliam
Adam Teuscher
Andrew Merrill
Ryan Farrell
39
5
1
23 Jun 2020
Focus Longer to See Better:Recursively Refined Attention for
  Fine-Grained Image Classification
Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
Prateek Shroff
Tianlong Chen
Yunchao Wei
Zhangyang Wang
36
12
0
22 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
68
99
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
89
70
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
75
21
0
25 Mar 2020
Fine-grained Species Recognition with Privileged Pooling: Better Sample
  Efficiency Through Supervised Attention
Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised Attention
Andrés C. Rodríguez
Stefano Dáronco
Konrad Schindler
Jan Dirk Wegner
32
4
0
20 Mar 2020
W2S: Microscopy Data with Joint Denoising and Super-Resolution for
  Widefield to SIM Mapping
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping
Ruofan Zhou
Majed El Helou
D. Sage
T. Laroche
A. Seitz
Sabine Süsstrunk
50
9
0
12 Mar 2020
High-Order Paired-ASPP Networks for Semantic Segmenation
High-Order Paired-ASPP Networks for Semantic Segmenation
Yu Zhang
Xin Sun
Junyu Dong
Changrui Chen
Yue Shen
121
2
0
18 Feb 2020
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
Chao Chen
Zhihang Fu
Zhihong Chen
Sheng Jin
Zhaowei Cheng
Xinyu Jin
Xiansheng Hua
87
203
0
27 Dec 2019
Learning Deep Bilinear Transformation for Fine-grained Image
  Representation
Learning Deep Bilinear Transformation for Fine-grained Image Representation
Heliang Zheng
Jianlong Fu
Zhengjun Zha
Jiebo Luo
89
150
0
09 Nov 2019
12
Next