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Proto2Proto: Can you recognize the car, the way I do?
v1v2 (latest)

Proto2Proto: Can you recognize the car, the way I do?

Computer Vision and Pattern Recognition (CVPR), 2022
25 April 2022
Monish Keswani
Sriranjani Ramakrishnan
Nishant Reddy
V. Balasubramanian
ArXiv (abs)PDFHTML

Papers citing "Proto2Proto: Can you recognize the car, the way I do?"

20 / 20 papers shown
Title
SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
Viktar Dubovik
Łukasz Struski
Jacek Tabor
Dawid Rymarczyk
207
0
0
25 Jul 2025
Prototype Guided Backdoor Defense
Prototype Guided Backdoor Defense
Venkat Adithya Amula
Sunayana Samavedam
Saurabh Saini
Avani Gupta
Narayanan P J
AAML
256
1
0
26 Mar 2025
This looks like what? Challenges and Future Research Directions for Part-Prototype Models
This looks like what? Challenges and Future Research Directions for Part-Prototype Models
Khawla Elhadri
Tomasz Michalski
Adam Wróbel
Jorg Schlotterer
Bartosz Zieliñski
C. Seifert
271
2
0
13 Feb 2025
Language Model as Visual Explainer
Language Model as Visual ExplainerNeural Information Processing Systems (NeurIPS), 2024
Xingyi Yang
Xinchao Wang
VLM
164
1
0
08 Dec 2024
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category
  Discovery
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category DiscoveryNeural Information Processing Systems (NeurIPS), 2024
Haiyang Zheng
Nan Pu
Wenjing Li
Andrii Zadaianchuk
Zhun Zhong
194
7
0
24 Oct 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric
  Interpretable Computer Vision
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
Mateusz Pach
Dawid Rymarczyk
K. Lewandowska
Jacek Tabor
Bartosz Zieliñski
235
11
0
23 May 2024
A survey on Concept-based Approaches For Model Improvement
A survey on Concept-based Approaches For Model Improvement
Avani Gupta
P. J. Narayanan
LRM
284
5
0
21 Mar 2024
FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and
  Visual Explanations
FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations
Yitao Peng
Lianghua He
D. Hu
Yihang Liu
Longzhen Yang
Shaohua Shang
FAtt
156
0
0
04 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
508
5
0
30 Nov 2023
Concept Distillation: Leveraging Human-Centered Explanations for Model
  Improvement
Concept Distillation: Leveraging Human-Centered Explanations for Model ImprovementNeural Information Processing Systems (NeurIPS), 2023
Avani Gupta
Saurabh Saini
P. J. Narayanan
205
12
0
26 Nov 2023
Pixel-Grounded Prototypical Part Networks
Pixel-Grounded Prototypical Part NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zachariah Carmichael
Suhas Lohit
A. Cherian
Michael Jeffrey Jones
Walter J. Scheirer
257
16
0
25 Sep 2023
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained
  Image Classification Accuracy for AIs and Humans
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans
Giang Nguyen
Valerie Chen
Mohammad Reza Taesiri
Anh Totti Nguyen
265
4
0
25 Aug 2023
UIPC-MF: User-Item Prototype Connection Matrix Factorization for
  Explainable Collaborative Filtering
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative FilteringPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023
Lei Pan
V. Soo
179
0
0
14 Aug 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual LearningIEEE International Conference on Computer Vision (ICCV), 2023
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
247
31
0
14 Mar 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
ProtoSeg: Interpretable Semantic Segmentation with Prototypical PartsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Mikolaj Sacha
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
VLM
271
41
0
28 Jan 2023
Learning from Mistakes: Self-Regularizing Hierarchical Representations
  in Point Cloud Semantic Segmentation
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic SegmentationIEEE transactions on multimedia (IEEE TMM), 2023
Elena Camuffo
Umberto Michieli
Simone Milani
3DPC
205
7
0
26 Jan 2023
Learning Support and Trivial Prototypes for Interpretable Image
  Classification
Learning Support and Trivial Prototypes for Interpretable Image ClassificationIEEE International Conference on Computer Vision (ICCV), 2023
Chong Wang
Yuyuan Liu
Yuanhong Chen
Fengbei Liu
Yu Tian
Davis J. McCarthy
Helen Frazer
G. Carneiro
435
39
0
08 Jan 2023
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image RecognitionInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Mengqi Xue
Qihan Huang
Haofei Zhang
Lechao Cheng
Mingli Song
Ming-hui Wu
Weilong Dai
ViT
307
70
0
22 Aug 2022
Contrastive Representation Distillation
Contrastive Representation DistillationInternational Conference on Learning Representations (ICLR), 2019
Yonglong Tian
Dilip Krishnan
Phillip Isola
1.2K
1,199
0
23 Oct 2019
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.2K
19,420
0
16 Feb 2016
1