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XRAI: Better Attributions Through Regions

IEEE International Conference on Computer Vision (ICCV), 2019

6 June 2019

Papers citing "XRAI: Better Attributions Through Regions"

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Title
Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design Pasquale De Marinis Uzay Kaymak Rogier Brussee G. Vessio Giovanna Castellano 112 0 0 22 Nov 2025
Did Models Sufficient Learn? Attribution-Guided Training via Subset-Selected Counterfactual Augmentation Yannan Chen Ruoyu Chen Bin Zeng Wei Wang Shiming Liu Qunli Zhang Zheng Hu L. Wang Y. Wang Xiaochun Cao 88 0 0 15 Nov 2025
Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification Anh Mai Vu Tuan L. Vo Ngoc Lam Quang Bui Nam Nguyen Le Binh Akash Awasthi H. Q. Vo T. Nguyen Zhu Han Chandra Mohan Hien V. Nguyen 334 2 0 11 Nov 2025
Detecting streaks in smart telescopes images with Deep Learning O. Parisot Mahmoud Jaziri 52 0 0 20 Oct 2025
TextCAM: Explaining Class Activation Map with Text Qiming Zhao Xingjian Li Xiaoyu Cao Xiaolong Wu Min Xu VLM 91 0 0 01 Oct 2025
Beyond Output Faithfulness: Learning Attributions that Preserve Computational Pathways Siyu Zhang Kenneth Mcmillan 131 0 0 04 Sep 2025
Robustness analysis of Deep Sky Objects detection models on HPC Olivier Parisot Diogo Ramalho Fernandes 17 0 0 13 Aug 2025
Evaluating Model Explanations without Ground TruthConference on Fairness, Accountability and Transparency (FAccT), 2025 Kaivalya Rawal Zihao Fu Eoin Delaney Chris Russell FAtt XAI 261 1 0 15 May 2025
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review Sonal Allana Mohan Kankanhalli Rozita Dara 291 2 0 05 May 2025
Now you see me! Attribution Distributions Reveal What is Truly Important for a Prediction Nils Philipp Walter Jilles Vreeken Jonas Fischer FAtt 258 0 0 10 Mar 2025
Attention, Please! PixelSHAP Reveals What Vision-Language Models Actually Focus On Roni Goldshmidt MLLM VLM 139 6 0 09 Mar 2025
Peter Parker or Spiderman? Disambiguating Multiple Class Labels Nuthan Mummani Simran Ketha Venkatakrishnan Ramaswamy 107 0 0 25 Oct 2024
AdaptGrad: Adaptive Sampling to Reduce Noise Linjiang Zhou Chao Ma Zepeng Wang Libing Wu Xiaochuan Shi FAtt 261 2 0 10 Oct 2024
Riemann Sum Optimization for Accurate Integrated Gradients Computation Swadesh Swain Shree Singhi 209 1 0 05 Oct 2024
Leveraging Local Structure for Improving Model Explanations: An Information Propagation ApproachInternational Conference on Information and Knowledge Management (CIKM), 2024 Ruo Yang Binghui Wang M. Bilgic FAtt 174 1 0 24 Sep 2024
Data Augmentation for Image Classification using Generative AIIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Fazle Rahat M Shifat Hossain Md Rubel Ahmed Sumit Kumar Jha Rickard Ewetz VLM 201 10 0 31 Aug 2024
MaskInversion: Localized Embeddings via Optimization of Explainability Maps Walid Bousselham Sofian Chaybouti Christian Rupprecht Vittorio Ferrari Hilde Kuehne 216 2 0 29 Jul 2024
Explainable Metric Learning for Deflating Data Bias Emma Andrews Prabhat Mishra 129 1 0 05 Jul 2024
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation D. C. Marshall Shuang Wu Zihao Jin Caiwen Xu Shiyi Wang Simon Walsh Guang Yang MedIm 253 7 0 21 Jun 2024
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution Yue Zhuo Zhiqiang Ge 208 16 0 16 Jun 2024
FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion George Cazenavette Avneesh Sud Thomas Leung Ben Usman DiffM 208 49 0 12 Jun 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 238 2 0 11 Jun 2024
Leveraging Activations for Superpixel Explanations Ahcène Boubekki Samuel G. Fadel Sebastian Mair AAML FAtt XAI 165 0 0 07 Jun 2024
Mitigating Bias Using Model-Agnostic Data Attribution Sander De Coninck Wei-Cheng Wang Pieter Simoens 214 4 0 08 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A SurveyICT express (IE), 2024 Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 280 28 0 02 May 2024
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency Jun Huang Yan Liu FAtt 244 1 0 23 Apr 2024
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults Tongze Zhang Tammy Chung Anind Dey Sang Won Bae 194 4 0 22 Apr 2024
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer Quoc Khanh Nguyen Truong Thanh Hung Nguyen V. Nguyen Van Binh Truong Tuong Phan Hung Cao 118 7 0 20 Apr 2024
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity Walid Bousselham Angie Boggust Sofian Chaybouti Hendrik Strobelt Hilde Kuehne 283 21 0 04 Apr 2024
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency mapsInternational journal of human computer interactions (IJHCI), 2024 Romy Müller HAI 200 12 0 03 Apr 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Tong Zhang Xu Guo Zhiqi Shen XAI 202 37 0 15 Mar 2024
What Sketch Explainability Really Means for Downstream TasksComputer Vision and Pattern Recognition (CVPR), 2024 Hmrishav Bandyopadhyay Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Tao Xiang Yi-Zhe Song 267 6 0 14 Mar 2024
Path Choice Matters for Clear Attribution in Path Methods Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 170 4 0 19 Jan 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 256 31 0 12 Jan 2024
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks Zhiyu Zhu Huaming Chen Jiayu Zhang Xinyi Wang Zhibo Jin Minhui Xue Dongxiao Zhu Kim-Kwang Raymond Choo FAtt 185 13 0 21 Dec 2023
An adversarial attack approach for eXplainable AI evaluation on deepfake detection modelsComputers & security (CS), 2023 Balachandar Gowrisankar V. Thing AAML 139 21 0 08 Dec 2023
GLIME: General, Stable and Local LIME ExplanationNeural Information Processing Systems (NeurIPS), 2023 Zeren Tan Yang Tian Jian Li FAtt LRM 149 31 0 27 Nov 2023
Interpretability is in the eye of the beholder: Human versus artificial classification of image segments generated by humans versus XAIInternational journal of human computer interactions (IJHCI), 2023 Romy Müller Marius Thoss Julian Ullrich Steffen Seitz Carsten Knoll 193 4 0 21 Nov 2023
Détection dóbjets célestes dans des images astronomiques par IA explicable O. Parisot Mahmoud Jaziri 95 0 0 17 Nov 2023
Greedy PIG: Adaptive Integrated Gradients Kyriakos Axiotis Sami Abu-El-Haija Lin Chen Matthew Fahrbach Gang Fu FAtt 189 0 0 10 Nov 2023
Visual Explanations via Iterated Integrated AttributionsIEEE International Conference on Computer Vision (ICCV), 2023 Oren Barkan Yehonatan Elisha Yuval Asher Amit Eshel Noam Koenigstein FAtt XAI 124 25 0 28 Oct 2023
Deep Integrated ExplanationsInternational Conference on Information and Knowledge Management (CIKM), 2023 Oren Barkan Yehonatan Elisha Jonathan Weill Yuval Asher Amit Eshel Noam Koenigstein FAtt 266 7 0 23 Oct 2023
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class Hongbo Zhu Angelo Cangelosi Procheta Sen Anirbit Mukherjee FAtt 233 0 0 07 Oct 2023
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification Rangel Daroya Aaron Sun Subhransu Maji 151 1 0 20 Sep 2023
Scale-Preserving Automatic Concept Extraction (SPACE)Machine-mediated learning (ML), 2023 Andres Felipe Posada-Moreno Lukas Kreisköther T. Glander Sebastian Trimpe 93 1 0 11 Aug 2023
MAEA: Multimodal Attribution for Embodied AI Vidhi Jain Jayant Sravan Tamarapalli Sahiti Yerramilli Yonatan Bisk 179 9 0 25 Jul 2023
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 411 4 0 06 Jun 2023
Towards Better Explanations for Object DetectionAsian Conference on Machine Learning (ACML), 2023 Van Binh Truong Hung Truong Thanh Nguyen Truong Thanh Hung Nguyen Quoc Khanh Nguyen Quoc Hung Cao 126 13 0 05 Jun 2023
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its DecisionAAAI Conference on Artificial Intelligence (AAAI), 2023 Chase Walker Sumit Kumar Jha Kenny Chen Rickard Ewetz FAtt 153 19 0 31 May 2023
Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiersAAAI Conference on Artificial Intelligence (AAAI), 2023 Naveed Akhtar M. Jalwana FAtt AAML 146 7 0 31 Mar 2023

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XRAI: Better Attributions Through Regions

Papers citing "XRAI: Better Attributions Through Regions"