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Explaining YOLO: Leveraging Grad-CAM to Explain Object Detections

Explaining YOLO: Leveraging Grad-CAM to Explain Object Detections

22 November 2022
Armin Kirchknopf
D. Slijepcevic
Ilka Wunderlich
Michael Breiter
Johannes Traxler
Matthias Zeppelzauer
    FAtt
    ObjD
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Papers citing "Explaining YOLO: Leveraging Grad-CAM to Explain Object Detections"

5 / 5 papers shown
Title
Deep Unfolding Multi-modal Image Fusion Network via Attribution Analysis
Deep Unfolding Multi-modal Image Fusion Network via Attribution Analysis
Haowen Bai
Zixiang Zhao
Jiangshe Zhang
Baisong Jiang
Lilun Deng
Yukun Cui
Shuang Xu
Chunxia Zhang
60
2
0
03 Feb 2025
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
45
2
0
28 Oct 2024
ProtoP-OD: Explainable Object Detection with Prototypical Parts
ProtoP-OD: Explainable Object Detection with Prototypical Parts
Pavlos Rath-Manakidis
Frederik Strothmann
Tobias Glasmachers
Laurenz Wiskott
ViT
35
1
0
29 Feb 2024
You Only Explain Once
You Only Explain Once
David A. Kelly
Hana Chockler
Daniel Kroening
Nathan Blake
Aditi Ramaswamy
Melane Navaratnarajah
Aaditya Shivakumar
18
2
0
23 Nov 2023
Evaluating the Stability of Semantic Concept Representations in CNNs for
  Robust Explainability
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
Georgii Mikriukov
Gesina Schwalbe
Christian Hellert
Korinna Bade
FAtt
33
8
0
28 Apr 2023
1