Learning Deep Features for Discriminative Localization

14 December 2015

Antonio Torralba

Papers citing "Learning Deep Features for Discriminative Localization"

50 / 78 papers shown

Title
Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy Qiang Hu Qimei Wang Jia Chen Xuantao Ji Qiang Li Zhiwei Wang 43 0 0 25 May 2025
EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion Zichuan Yang 70 0 0 23 May 2025
Soft-CAM: Making black box models self-explainable for high-stakes decisions K. Djoumessi Philipp Berens FAtt BDL 42 0 0 23 May 2025
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Shuxian Ma Zihao Dong Runmin Cong Sam Kwong Xiuli Shao 30 0 0 23 May 2025
Improving Sound Source Localization with Joint Slot Attention on Image and Audio Inho Kim Youngkil Song Jicheol Park Won Hwa Kim Suha Kwak 68 0 0 21 Apr 2025
Leakage and Interpretability in Concept-Based Models Enrico Parisini Tapabrata Chakraborti Chris Harbron Ben D. MacArthur Christopher R. S. Banerji 61 0 0 18 Apr 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 97 1 0 14 Apr 2025
From Visual Explanations to Counterfactual Explanations with Latent Diffusion Tung Luu Nam Le Duc Le Bac Le DiffM AAML FAtt 89 0 0 12 Apr 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 86 1 0 22 Mar 2025
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging Minjae Chung Jong Bum Won Ganghyun Kim Yujin Kim Utku Ozbulak MedIm 90 0 0 12 Mar 2025
Discovering Influential Neuron Path in Vision Transformers Yifan Wang Yifei Liu Yingdong Shi Chong Li Anqi Pang Sibei Yang Jingyi Yu Kan Ren ViT 94 0 0 12 Mar 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models Itay Benou Tammy Riklin-Raviv 80 1 0 27 Feb 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 87 0 0 24 Feb 2025
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models Amy Rafferty Rishi Ramaesh Ajitha Rajan MedIm AAML 74 0 0 04 Feb 2025
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos Soufiane Belharbi Shakeeb Murtaza M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 100 4 0 28 Jan 2025
Auto-Prompting SAM for Weakly Supervised Landslide Extraction Jian Wang Xiaokang Zhang Xianping Ma Weikang Yu Pedram Ghamisi 48 3 0 23 Jan 2025
Generating visual explanations from deep networks using implicit neural representations Michal Byra Henrik Skibbe GAN FAtt 43 0 0 20 Jan 2025
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation Zhiwei Yang Yucong Meng Kexue Fu Shuo Wang Zhijian Song 114 2 0 20 Jan 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding Ruitao Xie Jingbang Chen Limai Jiang Rui Xiao Yi-Lun Pan Yunpeng Cai 92 4 0 31 Dec 2024
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization Zijie Fang Yifeng Wang Peizhang Xie Zhi Wang Yongbing Zhang 70 0 0 31 Dec 2024
ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements M. Arda Aydın Efe Mert Çırpar Elvin Abdinli Gözde B. Ünal Y. Sahin VLM 119 1 0 18 Nov 2024
Rethinking Positive Pairs in Contrastive Learning Jiantao Wu Shentong Mo Zhenhua Feng Sara Atito Josef Kitler Muhammad Awais SSL VLM 63 3 0 23 Oct 2024
Explanation Bottleneck Models Shinýa Yamaguchi Kosuke Nishida LRM BDL 70 1 0 26 Sep 2024
ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation Yanlin Jin Rui-Yang Ju Haojun Liu Yuzhong Zhong 43 0 0 18 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 126 0 0 14 Sep 2024
Interpreting Outliers in Time Series Data through Decoding Autoencoder Patrick Knab Sascha Marton Christian Bartelt Robert Fuder 34 1 0 03 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 128 31 0 30 Aug 2024
Interpreting Low-level Vision Models with Causal Effect Maps Jinfan Hu Jinjin Gu Shiyao Yu Fanghua Yu Zheyuan Li Zhiyuan You Chaochao Lu Chao Dong CML 75 2 0 29 Jul 2024
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps Junseo Park Hyeryung Jang 108 1 0 17 Jul 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 90 1 0 21 Jun 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics Charlotte Beylier Simon M. Hofmann Nico Scherf 54 0 0 20 Jun 2024
Progressive Confident Masking Attention Network for Audio-Visual Segmentation Yuxuan Wang Feng Dong Jinchao Zhu Shuyue Zhu VOS 79 0 0 04 Jun 2024
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation Qile Fan Penghang Yu Zhiyi Tan Bing-Kun Bao Guanming Lu 87 1 0 01 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 104 2 0 01 Jun 2024
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation Iveta Becková Stefan Pócos Giulia Belgiovine Marco Matarese A. Sciutti Carlo Mazzola Carlo Mazzola 49 0 0 20 May 2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks Mihir Mulye Matias Valdenegro-Toro UQCV FAtt 64 0 0 25 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 92 6 0 18 Mar 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 85 2 0 27 Feb 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 59 7 0 26 Jan 2024
Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation Ci-Siang Lin Chien-Yi Wang Yu-Chiang Frank Wang Min-Hung Chen VLM 65 0 0 22 Jan 2024
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 83 2 0 12 Dec 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 93 7 0 14 Sep 2023
Exploring Part-Informed Visual-Language Learning for Person Re-Identification Y. Lin Cong Liu Yehansen Chen Jinshui Hu Bing Yin Baocai Yin Zengfu Wang 102 7 0 04 Aug 2023
Long-Tailed Continual Learning For Visual Food Recognition Jiangpeng He Luotao Lin Jack Ma H. Eicher-Miller Fengqing Zhu Fengqing M Zhu 72 14 0 01 Jul 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 74 1 0 17 Feb 2023
SAIF: Sparse Adversarial and Imperceptible Attack Framework Tooba Imtiaz Morgan Kohler Jared Miller Zifeng Wang Octavia Camps Mario Sznaier Octavia Camps Jennifer Dy AAML 43 0 0 14 Dec 2022
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 56 3 0 28 Nov 2022
Information Bottleneck Approach to Spatial Attention Learning Qiuxia Lai Yu Li Ailing Zeng Minhao Liu Hanqiu Sun Qiang Xu 27 9 0 07 Aug 2021
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks Muhammad Sabih Frank Hannig J. Teich MQ 40 23 0 20 Aug 2020
DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based on Structural and Angiographic Optical Coherence Tomography P. Zang Liqin Gao T. Hormel Jie Wang Q. You T. Hwang Yali Jia 35 50 0 09 Jun 2020