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. 1603.06765
  4. Cited By
Fully Convolutional Attention Networks for Fine-Grained Recognition

Fully Convolutional Attention Networks for Fine-Grained Recognition

22 March 2016
Xiao-Chang Liu
Tian Xia
Jiang Wang
Yi Yang
Feng Zhou
Yuanqing Lin
ArXivPDFHTML

Papers citing "Fully Convolutional Attention Networks for Fine-Grained Recognition"

15 / 15 papers shown
Title
COMIX: Compositional Explanations using Prototypes
COMIX: Compositional Explanations using Prototypes
S. Sivaprasad
D. Kangin
Plamen Angelov
Mario Fritz
145
0
0
10 Jan 2025
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable
  Prototypes
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
Jonathan Donnelly
A. Barnett
Chaofan Chen
3DH
30
127
0
29 Nov 2021
Differentiable Patch Selection for Image Recognition
Differentiable Patch Selection for Image Recognition
Jean-Baptiste Cordonnier
Aravindh Mahendran
Alexey Dosovitskiy
Dirk Weissenborn
Jakob Uszkoreit
Thomas Unterthiner
25
93
0
07 Apr 2021
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
18
163
0
25 Sep 2019
Cross-X Learning for Fine-Grained Visual Categorization
Cross-X Learning for Fine-Grained Visual Categorization
W. Luo
Xitong Yang
Xianjie Mo
Yuheng Lu
L. Davis
Jun Li
Jian Yang
Ser-Nam Lim
82
193
0
10 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
21
1
0
06 Aug 2019
Weakly Supervised Complementary Parts Models for Fine-Grained Image
  Classification from the Bottom Up
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
Weifeng Ge
Xiangru Lin
Yizhou Yu
34
255
0
07 Mar 2019
Unsupervised Part Mining for Fine-grained Image Classification
Unsupervised Part Mining for Fine-grained Image Classification
Runsheng Zhang
Jian Zhang
Yaping Huang
Qi Zou
OCL
18
12
0
26 Feb 2019
Band Selection from Hyperspectral Images Using Attention-based
  Convolutional Neural Networks
Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks
Hanadi El Achi
Lukasz Tulczyjew
Michal Marcinkiewicz
Z. Kanaan
25
23
0
24 Oct 2018
Learning to Navigate for Fine-grained Classification
Learning to Navigate for Fine-grained Classification
Ze Yang
Tiange Luo
Dong Wang
Zhiqiang Hu
Jun Gao
Liwei Wang
17
444
0
02 Sep 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
41
1,156
0
27 Jun 2018
Attention-based Ensemble for Deep Metric Learning
Attention-based Ensemble for Deep Metric Learning
Wonsik Kim
Bhavya Goyal
Kunal Chawla
Jungmin Lee
Keunjoo Kwon
FedML
17
226
0
02 Apr 2018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Mattias Teye
Hossein Azizpour
Kevin Smith
BDL
UQCV
25
239
0
18 Feb 2018
Object-Part Attention Model for Fine-grained Image Classification
Object-Part Attention Model for Fine-grained Image Classification
Yuxin Peng
Xiangteng He
Junjie Zhao
OCL
VLM
46
338
0
06 Apr 2017
Localizing by Describing: Attribute-Guided Attention Localization for
  Fine-Grained Recognition
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition
Xiao-Chang Liu
Jiang Wang
Shilei Wen
Errui Ding
Yuanqing Lin
8
76
0
20 May 2016
1