Black-box Explanation of Object Detectors via Saliency Maps

Black-box Explanation of Object Detectors via Saliency Maps

5 June 2020

Varun Manjunatha

Vlad I. Morariu

Vicente Ordonez

Papers citing "Black-box Explanation of Object Detectors via Saliency Maps"

18 / 18 papers shown

Title
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation Loc Phuc Truong Nguyen Hung Truong Thanh Nguyen Hung Cao 68 0 0 27 Apr 2025
Interpreting Object-level Foundation Models via Visual Precision Search Ruoyu Chen Siyuan Liang Jingzhi Li Shiming Liu Maosen Li Zheng Huang Hua Zhang Xiaochun Cao FAtt 82 4 0 25 Nov 2024
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 48 3 0 27 Jul 2024
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems Yuhang Lu Zewei Xu Touradj Ebrahimi CVBM FAtt XAI 49 3 0 08 Jul 2024
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI Truong Thanh Hung Nguyen V. Nguyen Quoc Hung Cao Van Binh Truong Quoc Khanh Nguyen Hung Cao 27 1 0 18 Jan 2024
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors Quoc Khanh Nguyen Hung Truong Thanh Nguyen Truong Thanh Hung Nguyen Van Binh Truong Quoc Hung Cao 24 4 0 06 Jun 2023
Improve Video Representation with Temporal Adversarial Augmentation Jinhao Duan Quanfu Fan Hao-Ran Cheng Xiaoshuang Shi Kaidi Xu AAML AI4TS ViT 31 2 0 28 Apr 2023
Explanation of Face Recognition via Saliency Maps Yuhang Lu Touradj Ebrahimi XAI CVBM 13 3 0 12 Apr 2023
DExT: Detector Explanation Toolkit Deepan Padmanabhan Paul G. Plöger Octavio Arriaga Matias Valdenegro-Toro 33 2 0 21 Dec 2022
Explaining YOLO: Leveraging Grad-CAM to Explain Object Detections Armin Kirchknopf D. Slijepcevic Ilka Wunderlich Michael Breiter Johannes Traxler Matthias Zeppelzauer FAtt ObjD 13 6 0 22 Nov 2022
Recipro-CAM: Fast gradient-free visual explanations for convolutional neural networks Seokhyun Byun Won-Jo Lee FAtt 39 4 0 28 Sep 2022
What You See is What You Classify: Black Box Attributions Steven Stalder Nathanael Perraudin R. Achanta Fernando Perez-Cruz Michele Volpi FAtt 32 9 0 23 May 2022
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 32 55 0 29 Mar 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts Ying-Shuai Wanga Yunxia Liua Licong Dongc Xuzhou Wua Huabin Zhangb Qiongyu Yed Desheng Sunc Xiaobo Zhoue Kehong Yuan 27 0 0 19 Jan 2022
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools Piero Fraternali Federico Milani Rocio Nahime Torres Niccolò Zangrando AAML 33 9 0 17 Jan 2022
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 29 184 0 15 May 2021
Explainable Person Re-Identification with Attribute-guided Metric Distillation Xiaodong Chen Xinchen Liu Wu Liu Xiaoping Zhang Yongdong Zhang Tao Mei 47 44 0 02 Mar 2021
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 25 70 0 08 Sep 2019