Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations

16 March 2023

Papers citing "Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations"

4 / 4 papers shown

Title
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems Wen-Dong Jiang Chih-Yung Chang Hsiang-Chuan Chang Ji-Yuan Chen Diptendu Sinha Roy 48 0 0 31 Dec 2024
Enhancing Explainable AI: A Hybrid Approach Combining GradCAM and LRP for CNN Interpretability Vaibhav Dhore Achintya Bhat Viraj Nerlekar Kashyap Chavhan Aniket Umare FAtt 23 3 0 20 May 2024
LFI-CAM: Learning Feature Importance for Better Visual Explanation Kwang Hee Lee Chaewon Park J. Oh Nojun Kwak FAtt 32 27 0 03 May 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 310 39,238 0 01 Sep 2014