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What You See is What You Classify: Black Box Attributions

What You See is What You Classify: Black Box Attributions

23 May 2022
Steven Stalder
Nathanael Perraudin
R. Achanta
Fernando Perez-Cruz
Michele Volpi
    FAtt
ArXivPDFHTML

Papers citing "What You See is What You Classify: Black Box Attributions"

7 / 7 papers shown
Title
Comprehensive Attribution: Inherently Explainable Vision Model with
  Feature Detector
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Xianren Zhang
Dongwon Lee
Suhang Wang
VLM
FAtt
45
3
0
27 Jul 2024
Explainable Image Recognition via Enhanced Slot-attention Based
  Classifier
Explainable Image Recognition via Enhanced Slot-attention Based Classifier
Bowen Wang
Liangzhi Li
Jiahao Zhang
Yuta Nakashima
Hajime Nagahara
OCL
44
0
0
08 Jul 2024
Challenges and Opportunities in Text Generation Explainability
Challenges and Opportunities in Text Generation Explainability
Kenza Amara
Rita Sevastjanova
Mennatallah El-Assady
SILM
45
2
0
14 May 2024
Q-SENN: Quantized Self-Explaining Neural Networks
Q-SENN: Quantized Self-Explaining Neural Networks
Thomas Norrenbrock
Marco Rudolph
Bodo Rosenhahn
FAtt
AAML
MILM
28
6
0
21 Dec 2023
Counterfactual Image Generation for adversarially robust and
  interpretable Classifiers
Counterfactual Image Generation for adversarially robust and interpretable Classifiers
Rafael Bischof
F. Scheidegger
Michael A. Kraus
A. Malossi
AAML
30
2
0
01 Oct 2023
From Classification to Segmentation with Explainable AI: A Study on
  Crack Detection and Growth Monitoring
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring
Florent Forest
Hugo Porta
D. Tuia
Olga Fink
24
7
0
20 Sep 2023
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics
Naveed Akhtar
XAI
VLM
30
7
0
31 Jan 2023
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