Overview of Class Activation Maps for Visualization Explainability

Type: Preprint

Publication Date: 2023-01-01

Citations: 3

DOI: https://doi.org/10.48550/arxiv.2309.14304

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis 2021 Samuele Poppi
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
+ Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis 2021 Samuele Poppi
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
+ PDF Chat Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis 2021 Samuele Poppi
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
+ Unsupervised discovery of Interpretable Visual Concepts 2023 Caroline Mazini Rodrigues
Nicolas Boutry
Laurent Najman
+ PDF Chat Feature CAM: Interpretable AI in Image Classification 2024 Frincy Clement
Ji Yang
Irene Cheng
+ The Mind's Eye: Visualizing Class-Agnostic Features of CNNs 2021 Alexandros Stergiou
+ The Mind's Eye: Visualizing Class-Agnostic Features of CNNs 2021 Alexandros Stergiou
+ Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models 2019 Daniel Omeiza
Skyler Speakman
Celia Cintas
Komminist Weldermariam
+ Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map 2023 Yuguang Yang
Runtang Guo
Sheng Wu
Yimi Wang
Juan Zhang
Xuan Gong
Baochang Zhang
+ Robust Semantic Interpretability: Revisiting Concept Activation Vectors 2021 Jacob Pfau
Albert T. Young
Jerome Wei
Maria L. Wei
Michael J. Keiser
+ Robust Semantic Interpretability: Revisiting Concept Activation Vectors 2021 Jacob Pfau
Albert T. Young
Jerome Wei
Maria L. Wei
Michael J. Keiser
+ CAManim: Animating end-to-end network activation maps 2023 Emily Kaczmarek
Olivier Miguel
Alexa C. Bowie
Robin Ducharme
Alysha L. J. Dingwall‐Harvey
Steven Hawken
Christine M. Armour
Mark Walker
Kevin Dick
+ Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets 2023 Miquel Miró-Nicolau
Antoni Jaume-i-Capó
Gabriel Moyà-Alcover
+ PDF Chat Poly-CAM: High resolution Class Activation Map for Convolutional Neural Networks 2024 Alexandre Englebert
Olivier Cornu
Christophe De Vleeschouwer
+ PDF Chat CAManim: Animating end-to-end network activation maps 2024 Emily Kaczmarek
Olivier Miguel
Alexa C. Bowie
Robin Ducharme
Alysha L. J. Dingwall‐Harvey
Steven Hawken
Christine M. Armour
Mark Walker
Kevin Dick
+ Quantifying Explainability of Saliency Methods in Deep Neural Networks 2020 Erico Tjoa
Cuntai Guan
+ PDF Chat ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods 2024 Eduard Hogea
Darian M. Onchiş
Ana Coporan
Adina Magda Florea
Codruta Istin
+ Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks 2019 Haofan Wang
Zifan Wang
Mengnan Du
Fan Yang
Zijian Zhang
Sirui Ding
Piotr Mardziel
Xia Hu
+ PDF Chat Explaining Deep Neural Networks by Leveraging Intrinsic Methods 2024 Biagio La Rosa
+ Recipro-CAM: Fast gradient-free visual explanations for convolutional neural networks 2022 Seok-Yong Byun
Won-Ju Lee

Works That Cite This (0)

Action Title Year Authors

Works Cited by This (0)

Action Title Year Authors