**CRISING A Novel Post Hoc Interpretation Method for Black Box Models**

Overview of C Rise A Post Hoc Interpretation Method Of Black Box Models

PDF C RISE A Post hoc Interpretation Method of Black box Models

This paper introduces C-RISE , a novel post-hoc interpretation method for black-box models in SAR ATR, which builds on the RISE algorithm. We compare the interpretation effects of different methods and C-RISE algorithm using both qualitative analysis and quantitative calculation.

In this paper, we propose an innovative approach named C-RISE , which builds upon the RISE algorithm to provide a post-hoc interpretation technique for black-box models used in SAR Images Target ...

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This paper introduces a novel post-hoc interpretation method for black-box models in SAR ATR, which builds on the RISE algorithm. The proposed C-RISE algorithm offers several advantages over other methods , including its ability to group mask images that capture similar fusion features using a clustering strategy.

In this paper, we propose an innovative approach named C-RISE , which builds upon the RISE algorithm to provide a post-hoc interpretation technique for black-box models used in SAR Images Target ...

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Useful Notes on C Rise A Post Hoc Interpretation Method Of Black Box Models

black-box models in SAR ATR, which builds on the RISE algorithm. We compare the interpretation effects of different methods and C-RISE algori hm using both qualitative analysis and quantitative calculation. C-RISE offers several advantages, including its ability to group mask images that capture similar fusion features using a clustering ...

Overview of C Rise A Post Hoc Interpretation Method Of Black Box Models

This paper proposes an innovative approach named C-RISE , which builds upon the RISE algorithm to provide a post-hoc interpretation technique for black-box models used in SAR Images Target Recognition and demonstrates superior performance over other interpretation methods based on perturbation when applied to neural networks for SAR image target recognition. The integration of deep learning ...

6named C-RISE , which builds upon the RISE algorithm to provide a post-hoc interpretation 7technique for black-box models used in SAR Images Target Recognition. C-RISE generates saliency

Exploring Model Explainability Techniques Interpreting Black Box

Remote Sensing

Zhu M, Cheng J, Lei T, Feng Z, Zhou X, Liu Y, Chen Z. C-RISE : A Post-Hoc Interpretation Method of Black-Box Models for SAR ATR. Remote Sensing. 2023; 15 (12):3103. https://doi.org/10.3390/rs15123103

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This paper presents significant advancements in the RISE (Randomized Input Sampling for Explanation) algorithm, a popular black-box interpretability method for image data. RISE’s main weakness lies on the large number of model evaluations required to produce...