Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2309.03173
Cited By
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
Re-assign community
ArXiv
PDF
HTML
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
Guillaume Jeanneret
Loïc Simon
F. Jurie
ViT
128
0
0
24 Feb 2025
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
Shirzad Amir
Yossi Gandelsman
Shai Bagon
Tali Dekel
MDE
ViT
93
286
0
10 Dec 2021
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
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
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
Tien-Ju Yang
Yi-Lun Liao
Vivienne Sze
55
55
0
31 Mar 2021
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang
Yin Li
63
139
0
21 May 2020
Quantifying Attention Flow in Transformers
Samira Abnar
Willem H. Zuidema
134
794
0
02 May 2020
Attention is not not Explanation
Sarah Wiegreffe
Yuval Pinter
XAI
AAML
FAtt
112
909
0
13 Aug 2019
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
Sarthak Jain
Byron C. Wallace
FAtt
126
1,323
0
26 Feb 2019
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
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
172
1,169
0
19 Jun 2018
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)
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
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,815
0
22 May 2017
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
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
Xiao-Chang Liu
Jiang Wang
Shilei Wen
Errui Ding
Yuanqing Lin
25
77
0
20 May 2016
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
1