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

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

25 April 2022
Monish Keswani
Sriranjani Ramakrishnan
Nishant Reddy
V. Balasubramanian
ArXivPDFHTML

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

8 / 8 papers shown
Title
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 Recognition
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
26
1
0
30 Nov 2023
Concept Distillation: Leveraging Human-Centered Explanations for Model
  Improvement
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
Avani Gupta
Saurabh Saini
P. J. Narayanan
28
6
0
26 Nov 2023
UIPC-MF: User-Item Prototype Connection Matrix Factorization for
  Explainable Collaborative Filtering
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
Lei Pan
V. Soo
35
0
0
14 Aug 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
32
28
0
14 Mar 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
Mikolaj Sacha
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
VLM
35
29
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 Segmentation
Elena Camuffo
Umberto Michieli
Simone Milani
3DPC
30
4
0
26 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 Recognition
Mengqi Xue
Qihan Huang
Haofei Zhang
Lechao Cheng
Mingli Song
Ming-hui Wu
Mingli Song
ViT
27
52
0
22 Aug 2022
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
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