ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.14736
  4. Cited By
Attribution-based XAI Methods in Computer Vision: A Review

Attribution-based XAI Methods in Computer Vision: A Review

27 November 2022
Kumar Abhishek
Deeksha Kamath
ArXivPDFHTML

Papers citing "Attribution-based XAI Methods in Computer Vision: A Review"

11 / 11 papers shown
Title
Verifying Machine Unlearning with Explainable AI
Verifying Machine Unlearning with Explainable AI
Àlex Pujol Vidal
A. S. Johansen
M. N. Jahromi
Sergio Escalera
Kamal Nasrollahi
T. Moeslund
MU
54
1
0
20 Nov 2024
On the Black-box Explainability of Object Detection Models for Safe and
  Trustworthy Industrial Applications
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications
Alain Andres
Aitor Martinez-Seras
I. Laña
Javier Del Ser
AAML
29
1
0
28 Oct 2024
IG2: Integrated Gradient on Iterative Gradient Path for Feature
  Attribution
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution
Yue Zhuo
Zhiqiang Ge
21
7
0
16 Jun 2024
Expected Grad-CAM: Towards gradient faithfulness
Expected Grad-CAM: Towards gradient faithfulness
Vincenzo Buono
Peyman Sheikholharam Mashhadi
M. Rahat
Prayag Tiwari
Stefan Byttner
FAtt
23
1
0
03 Jun 2024
Achieving Sparse Activation in Small Language Models
Achieving Sparse Activation in Small Language Models
Jifeng Song
Kai Huang
Xiangyu Yin
Boyuan Yang
Wei Gao
29
4
0
03 Jun 2024
Cloud-based XAI Services for Assessing Open Repository Models Under
  Adversarial Attacks
Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks
Zerui Wang
Yan Liu
AAML
11
1
0
22 Jan 2024
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based
  Detectors
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors
Baijun Cheng
Shengming Zhao
Kailong Wang
Meizhen Wang
Guangdong Bai
Ruitao Feng
Yao Guo
Lei Ma
Haoyu Wang
FAtt
AAML
29
7
0
05 Jan 2024
Fixing confirmation bias in feature attribution methods via semantic
  match
Fixing confirmation bias in feature attribution methods via semantic match
Giovanni Cina
Daniel Fernandez-Llaneza
Ludovico Deponte
Nishant Mishra
Tabea E. Rober
Sandro Pezzelle
Iacer Calixto
Rob Goedhart
cS. .Ilker Birbil
FAtt
19
0
0
03 Jul 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI
  Principles, Ethics, and Key Requirements to Responsible AI Systems and
  Regulation
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
27
262
0
02 May 2023
Counterfactual Edits for Generative Evaluation
Counterfactual Edits for Generative Evaluation
Maria Lymperaiou
Giorgos Filandrianos
Konstantinos Thomas
Giorgos Stamou
EGVM
19
0
0
02 Mar 2023
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
1