Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

7 October 2016

Ramprasaath R. Selvaraju

Devi Parikh

Papers citing "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"

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Title
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 32 1 0 07 Nov 2024
Local vs distributed representations: What is the right basis for interpretability? Julien Colin L. Goetschalckx Thomas Fel Victor Boutin Jay Gopal Thomas Serre Nuria Oliver HAI 42 2 0 06 Nov 2024
Self-supervised Representation Learning for Cell Event Recognition through Time Arrow Prediction Cangxiong Chen Vinay P. Namboodiri Julia E. Sero 44 0 0 06 Nov 2024
TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs Fan Wang Zhilin Zou N. Sakla Luke Partyka Nil Rawal ... Wei Zhao Haibin Ling Chuan Huang Prateek Prasanna Chong Chen MedIm 29 3 0 05 Nov 2024
An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services Zerui Wang Yan Liu Jun Huang 62 1 0 05 Nov 2024
Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting Adrian B. Chłopowiec Adam R. Chłopowiec Krzysztof Galus Wojciech Cebula Martin Tabakov MedIm 38 0 0 05 Nov 2024
SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features Zhuoshuo Li Jiong Zhang Youbing Zeng Jiaying Lin Dan Zhang Jianjia Zhang Duan Xu H. Kim Bingguang Liu Mengting Liu 34 0 0 05 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 60 1 0 05 Nov 2024
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition Sayanta Adhikari Rishav Kumar Konda Reddy Mopuri Rajalakshmi Pachamuthu 39 0 0 05 Nov 2024
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack Xiaojun Jia Sensen Gao Qing Guo Ke Ma Yihao Huang Simeng Qin Yang Liu Ivor Tsang Fellow Xiaochun Cao AAML 56 3 0 04 Nov 2024
Explanations that reveal all through the definition of encoding A. Puli Nhi Nguyen Rajesh Ranganath FAtt XAI 47 1 0 04 Nov 2024
Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading Sharon Chokuwa M. H. Khan 38 1 0 04 Nov 2024
Benchmarking XAI Explanations with Human-Aligned Evaluations Rémi Kazmierczak Steve Azzolin Eloise Berthier Anna Hedström Patricia Delhomme ... Goran Frehse Massimiliano Mancini Baptiste Caramiaux Andrea Passerini Gianni Franchi 30 1 0 04 Nov 2024
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis Xinyu Geng Jiaming Wang Jun Xu MedIm 34 0 0 03 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation Dennis Fucci Marco Gaido Beatrice Savoldi Matteo Negri Mauro Cettolo L. Bentivogli 59 1 0 03 Nov 2024
Visual Fourier Prompt Tuning Runjia Zeng Cheng Han Qifan Wang Chunshu Wu Tong Geng Lifu Huang Ying Nian Wu Dongfang Liu VPVLM VLM 61 6 0 02 Nov 2024
Designing a Robust Radiology Report Generation System Sonit Singh MedIm 36 1 0 02 Nov 2024
Debiasify: Self-Distillation for Unsupervised Bias Mitigation Nourhan Bayasi Jamil Fayyad Ghassan Hamarneh Rafeef Garbi Homayoun Najjaran 42 0 0 01 Nov 2024
STAA: Spatio-Temporal Attention Attribution for Real-Time Interpreting Transformer-based Video Models Zerui Wang Yan Liu 58 0 0 01 Nov 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective Yeonsung Jung Jaeyun Song J. Yang Jin-Hwa Kim Sung-Yub Kim Eunho Yang 51 2 0 01 Nov 2024
Multiple Information Prompt Learning for Cloth-Changing Person Re-Identification Shengxun Wei Zan Gao Yibo Zhao Weili Guan Weili Guan Shengyong Chen 56 2 0 01 Nov 2024
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales Tang Li Mengmeng Ma Xi Peng 45 2 0 31 Oct 2024
Directly Optimizing Explanations for Desired Properties Hiwot Belay Tadesse Alihan Hüyük Weiwei Pan Finale Doshi-Velez FAtt 48 0 0 31 Oct 2024
$EchoNarrator: Generating natural text explanations for ejection fraction predictions$ EchoNarrator: Generating natural text explanations for ejection fraction predictions S. Thomas Qing Cao Anna Novikova Daria Kulikova Guy Ben-Yosef 29 2 0 31 Oct 2024
DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection Fan Nie Jiangqun Ni Jian Zhang Bin Zhang Weizhe Zhang DiffM 39 1 0 31 Oct 2024
CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models Aymene Mohammed Bouayed Samuel Deslauriers-Gauthier Adrian Iaccovelli D. Naccache 35 0 0 30 Oct 2024
Transfer Learning in Vocal Education: Technical Evaluation of Limited Samples Describing Mezzo-soprano Zhenyi Hou Xu Zhao Kejie Ye Xinyu Sheng Shanggerile Jiang ... Jiaxing Chen Yan Zou Yuchao Feng Guangyu Fan Xin Yuan DiffM 40 1 0 30 Oct 2024
Efficient Feature Extraction and Classification Architecture for MRI-Based Brain Tumor Detection and Localization Plabon Paul Md. Nazmul Islam Fazle Rafsani Pegah Khorasani Shovito Barua Soumma 62 0 0 30 Oct 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 44 1 0 29 Oct 2024
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets Guangqi Jiang Yifei Sun Tao Huang Huanyu Li Yongyuan Liang Huazhe Xu 32 4 0 29 Oct 2024
Effective Guidance for Model Attention with Simple Yes-no Annotations Seongmin Lee Ali Payani Duen Horng Chau FAtt 47 0 0 29 Oct 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Yu Haiyang Zhang Changsheng Xu AAML VLM 28 3 0 29 Oct 2024
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning Xudong Wang Yuan Li Huiyu Zhou Jiaran Zhou Junyu Dong 44 1 0 29 Oct 2024
A Novel Score-CAM based Denoiser for Spectrographic Signature Extraction without Ground Truth Noel Elias DiffM 20 0 0 28 Oct 2024
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
Unlocking Comics: The AI4VA Dataset for Visual Understanding Peter Grönquist Deblina Bhattacharjee Bahar Aydemir Baran Ozaydin Tong Zhang Mathieu Salzmann Sabine Süsstrunk 31 0 0 27 Oct 2024
Evaluating the Influences of Explanation Style on Human-AI Reliance Emma Casolin Flora D. Salim Ben Newell 26 1 0 26 Oct 2024
Peter Parker or Spiderman? Disambiguating Multiple Class Labels Nuthan Mummani Simran Ketha Venkatakrishnan Ramaswamy 24 0 0 25 Oct 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 31 0 0 25 Oct 2024
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models Shuchen Meng Andi Chen Chihang Wang Mengyao Zheng Fangyu Wu Xupeng Chen Haowei Ni Panfeng Li 53 2 0 25 Oct 2024
Paved or unpaved? A Deep Learning derived Road Surface Global Dataset from Mapillary Street-View Imagery Sukanya Randhawa Eren Aygun Guntaj Randhawa Benjamin Herfort Sven Lautenbach Alexander Zipf 36 1 0 24 Oct 2024
Rethinking Positive Pairs in Contrastive Learning Jiantao Wu Shentong Mo Zhenhua Feng Sara Atito Josef Kitler Muhammad Awais SSL VLM 56 3 0 23 Oct 2024
Bridging the Diagnostic Divide: Classical Computer Vision and Advanced AI methods for distinguishing ITB and CD through CTE Scans Shashwat Gupta L. Gokulnath Akshan Aggarwal Mahim Naz Rajnikanth Yadav Priyanka Bagade 23 2 0 23 Oct 2024
Evaluating Explanations Through LLMs: Beyond Traditional User Studies Francesco Bombassei De Bona Gabriele Dominici Tim Miller Marc Langheinrich M. Gjoreski 22 4 0 23 Oct 2024
Bridging the Gaps: Utilizing Unlabeled Face Recognition Datasets to Boost Semi-Supervised Facial Expression Recognition Jie Song Mengqiao He Jinhua Feng Bo Shen 34 0 0 23 Oct 2024
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios Kai Wang Zekai Li Zhi-Qi Cheng Samir Khaki A. Sajedi Ramakrishna Vedantam Konstantinos N. Plataniotis Alexander G. Hauptmann Yang You DD 75 5 0 22 Oct 2024
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection Chandravardhan Singh Raghaw Parth Shirish Bhore Mohammad Zia Ur Rehman Nagendra Kumar ViT MedIm 42 5 0 21 Oct 2024
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency Aidan Boyd M. Trabelsi H. Uzunalioglu Dan Kushnir FAtt 31 0 0 21 Oct 2024
Linking Model Intervention to Causal Interpretation in Model Explanation Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 30 0 0 21 Oct 2024
Exploring Stronger Transformer Representation Learning for Occluded Person Re-Identification Zhangjian Ji Donglin Cheng K. Feng ViT 36 0 0 21 Oct 2024