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Object-Part Attention Model for Fine-grained Image Classification

Object-Part Attention Model for Fine-grained Image Classification

6 April 2017
Yuxin Peng
Xiangteng He
Junjie Zhao
    OCL
    VLM
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Papers citing "Object-Part Attention Model for Fine-grained Image Classification"

22 / 22 papers shown
Title
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing
Ruyu Yan
Da-Qing Zhang
34
0
0
02 May 2025
Edge Detection based on Channel Attention and Inter-region Independence Test
Edge Detection based on Channel Attention and Inter-region Independence Test
Ru-yu Yan
Da-Qing Zhang
21
0
0
02 May 2025
Natural Example-Based Explainability: a Survey
Natural Example-Based Explainability: a Survey
Antonin Poché
Lucas Hervier
M. Bakkay
XAI
24
11
0
05 Sep 2023
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual
  Recognition
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition
Ji-Hee Moon
Junseok K. Lee
Yu-Ling Lee
Seongsik Park
22
4
0
04 Aug 2023
Part-guided Relational Transformers for Fine-grained Visual Recognition
Part-guided Relational Transformers for Fine-grained Visual Recognition
Yifan Zhao
Jia Li
Xiaowu Chen
Yonghong Tian
ViT
29
34
0
28 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
AI4CE
28
11
0
16 Dec 2022
SIM-Trans: Structure Information Modeling Transformer for Fine-grained
  Visual Categorization
SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization
H. Sun
Xiangteng He
Yuxin Peng
ViT
23
77
0
31 Aug 2022
PARTICUL: Part Identification with Confidence measure using Unsupervised
  Learning
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning
Romain Xu-Darme
Georges Quénot
Zakaria Chihani
M. Rousset
16
7
0
27 Jun 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph
  Neural Networks
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks
Tianxiang Zhao
Xiang Zhang
Suhang Wang
17
6
0
10 Jun 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 J. Belongie
66
279
0
11 Nov 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
17
5
0
16 Sep 2021
Transformer with Peak Suppression and Knowledge Guidance for
  Fine-grained Image Recognition
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition
Xinda Liu
Lili Wang
Xiaoguang Han
ViT
34
66
0
14 Jul 2021
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the
  Interpretability of Attention
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention
T. Gomez
Suiyi Ling
Thomas Fréour
Harold Mouchère
10
5
0
04 Jun 2021
Sequential vessel segmentation via deep channel attention network
Sequential vessel segmentation via deep channel attention network
Dongdong Hao
Song Ding
Linwei Qiu
Yisong Lv
B. Fei
Yueqi Zhu
Binjie Qin
22
51
0
10 Feb 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual
  Classification
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Ardhendu Behera
Zachary Wharton
Pradeep Ruwan Padmasiri Galbokka Hewage
Asish Bera
59
108
0
17 Jan 2021
Data-driven Meta-set Based Fine-Grained Visual Classification
Data-driven Meta-set Based Fine-Grained Visual Classification
Chuanyi Zhang
Yazhou Yao
Xiangbo Shu
Zechao Li
Zhenmin Tang
Qi Wu
NoLa
16
2
0
06 Aug 2020
Automated Topical Component Extraction Using Neural Network Attention
  Scores from Source-based Essay Scoring
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring
Haoran Zhang
Diane Litman
6
10
0
04 Aug 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image
  Classification
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
27
300
0
11 Feb 2020
Geo-Aware Networks for Fine-Grained Recognition
Geo-Aware Networks for Fine-Grained Recognition
Grace Chu
B. Potetz
Weijun Wang
Andrew G. Howard
Yang Song
Fernando Brucher
Thomas Leung
Hartwig Adam
ObjD
33
82
0
04 Jun 2019
Adversarial Learning for Fine-grained Image Search
Adversarial Learning for Fine-grained Image Search
Kevin Qinghong Lin
Fan Yang
Qiaosong Wang
Robinson Piramuthu
GAN
22
10
0
06 Jul 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
44
1,307
0
23 May 2018
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
153
788
0
24 Nov 2014
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