Class Activation Map Guided Backpropagation for Discriminative Explanations
The interpretability of neural networks has garnered significant attention. In the domain of computer vision, gradient-based feature attribution techniques like RectGrad have been proposed to utilize saliency maps to demonstrate feature contributions to predictions. Despite advancements, RectGrad fa...
Saved in:
Main Authors: | Yongjie Liu, Wei Guo, Xudong Lu, Lanju Kong, Zhongmin Yan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/15/1/379 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering
by: Taiyin Zhao, et al.
Published: (2025-01-01) -
Generalized Grad-CAM attacking method based on adversarial patch
by: Nianwen SI, et al.
Published: (2021-03-01) -
Visual explanation method for reversible neural networks
by: Xinying MU, et al.
Published: (2023-12-01) -
Comparing Soil pH Mapping from Multi-Temporal PlanetScope and Sentinel-2 Data Across Land Use Types
by: Ziyu Wang, et al.
Published: (2025-01-01) -
Signs and features of law which cause the necessity of interpretation
by: V. K. Antoshkina
Published: (2019-09-01)