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PDiscoNet: Semantically consistent part discovery for fine-grained
  recognition

PDiscoNet: Semantically consistent part discovery for fine-grained recognition

6 September 2023
Robert van der Klis
Stephan Alaniz
Massimiliano Mancini
C. Dantas
Dino Ienco
Zeynep Akata
Diego Marcos
ArXivPDFHTML

Papers citing "PDiscoNet: Semantically consistent part discovery for fine-grained recognition"

21 / 21 papers shown
Title
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Guillaume Jeanneret
Loïc Simon
F. Jurie
ViT
128
0
0
24 Feb 2025
Part-Based Models Improve Adversarial Robustness
Part-Based Models Improve Adversarial Robustness
Chawin Sitawarin
Kornrapat Pongmala
Yizheng Chen
Nicholas Carlini
David Wagner
63
12
0
15 Sep 2022
Deep ViT Features as Dense Visual Descriptors
Deep ViT Features as Dense Visual Descriptors
Shirzad Amir
Yossi Gandelsman
Shai Bagon
Tali Dekel
MDE
ViT
93
286
0
10 Dec 2021
PartImageNet: A Large, High-Quality Dataset of Parts
PartImageNet: A Large, High-Quality Dataset of Parts
Ju He
Shuo Yang
Shaokang Yang
Adam Kortylewski
Xiaoding Yuan
Jieneng Chen
Shuai Liu
Cheng Yang
Qihang Yu
Alan Yuille
3DV
MLLM
3DH
VLM
87
97
0
02 Dec 2021
Unsupervised Part Discovery from Contrastive Reconstruction
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
OCL
SSL
233
62
0
11 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
118
288
0
11 Nov 2021
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network
  Training and Architecture Optimization
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization
Tien-Ju Yang
Yi-Lun Liao
Vivienne Sze
55
55
0
31 Mar 2021
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang
Yin Li
63
139
0
21 May 2020
Quantifying Attention Flow in Transformers
Quantifying Attention Flow in Transformers
Samira Abnar
Willem H. Zuidema
134
794
0
02 May 2020
Attention is not not Explanation
Attention is not not Explanation
Sarah Wiegreffe
Yuval Pinter
XAI
AAML
FAtt
112
909
0
13 Aug 2019
SCOPS: Self-Supervised Co-Part Segmentation
SCOPS: Self-Supervised Co-Part Segmentation
Wei-Chih Hung
Varun Jampani
Sifei Liu
Pavlo Molchanov
Ming-Hsuan Yang
Jan Kautz
77
140
0
03 May 2019
Attention is not Explanation
Attention is not Explanation
Sarthak Jain
Byron C. Wallace
FAtt
126
1,323
0
26 Feb 2019
Deep Feature Factorization For Concept Discovery
Deep Feature Factorization For Concept Discovery
Edo Collins
R. Achanta
Sabine Süsstrunk
63
91
0
26 Jun 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
172
1,169
0
19 Jun 2018
Unsupervised Discovery of Object Landmarks as Structural Representations
Unsupervised Discovery of Object Landmarks as Structural Representations
Y. Zhang
Yijie Guo
Yixin Jin
Yijun Luo
Zhiyuan He
Honglak Lee
OCL
64
194
0
12 Apr 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with
  Concept Activation Vectors (TCAV)
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Been Kim
Martin Wattenberg
Justin Gilmer
Carrie J. Cai
James Wexler
F. Viégas
Rory Sayres
FAtt
207
1,837
0
30 Nov 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,815
0
22 May 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
175
5,986
0
04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
268
19,929
0
07 Oct 2016
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
25
77
0
20 May 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
241
9,305
0
14 Dec 2015
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