Tell Me Where to Look: Guided Attention Inference Network

27 February 2018

Ziyan Wu

Papers citing "Tell Me Where to Look: Guided Attention Inference Network"

50 / 106 papers shown

Title
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning Aniket Didolkar Andrii Zadaianchuk Rabiul Awal Maximilian Seitzer E. Gavves Aishwarya Agrawal OCL VLM 97 2 0 27 Mar 2025
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 50 0 0 25 Mar 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 69 4 0 28 Jan 2025
HASN: Hybrid Attention Separable Network for Efficient Image Super-resolution Weifeng Cao Xiaoyan Lei Jun Shi Wanyong Liang Jie Liu Zongfei Bai SupR 39 0 0 13 Oct 2024
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems Yuhang Lu Zewei Xu Touradj Ebrahimi CVBM FAtt XAI 52 3 0 08 Jul 2024
DWARF: Disease-weighted network for attention map refinement Haozhe Luo Aurélie Pahud de Mortanges Oana Inel Abraham Bernstein Mauricio Reyes MedIm 48 3 0 24 Jun 2024
WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification Haitao Gan Lingchao Fu Ran Zhou Weiyan Gan Furong Wang Xiaoyan Wu Zhi Yang Zhongwei Huang 45 2 0 25 Jan 2024
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network Xiao Guo Vishal Asnani Sijia Liu Xiaoming Liu 30 5 0 03 Dec 2023
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 41 5 0 29 Nov 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 43 2 0 09 Nov 2023
Small Objects Matters in Weakly-supervised Semantic Segmentation Cheol Mun S. Lee Youngjung Uh Junsuk Choe H. Byun 20 2 0 25 Sep 2023
Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening Jiangdong Cai Honglin Xiong Mao-Hong Cao Luyan Liu Lichi Zhang Qian Wang 23 4 0 06 Sep 2023
Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance Xin Shen Xiaonan Zhao R. Luo 38 6 0 09 May 2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging Yuanyuan Wei Roger Tam Xiaoying Tang MedIm 22 12 0 13 Apr 2023
MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic Segmentation Chunmeng Liu Guang-pu Li Yao Shen Ruiqi Wang ViT 39 7 0 19 Mar 2023
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma T. Chanda Katja Hauser S. Hobelsberger Tabea-Clara Bucher Carina Nogueira Garcia ... J. Utikal K. Ghoreschi S. Fröhling E. Krieghoff-Henning T. Brinker 34 67 0 17 Mar 2023
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading Hasan Md Tusfiqur D. M. Nguyen M. T. N. Truong T. A. Nguyen Binh Duc Nguyen ... H. Profitlich Ngoc T. T. Than Ngan Le P. Xie Daniel Sonntag MedIm 32 8 0 30 Dec 2022
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map P. Zang T. Hormel Jie Wang Yukun Guo Steven T. Bailey C. Flaxel David Huang T. Hwang Yali Jia MedIm 35 7 0 13 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 31 39 0 07 Dec 2022
Explainable Model-Agnostic Similarity and Confidence in Face Verification Martin Knoche Torben Teepe S. Hörmann Gerhard Rigoll AAML CVBM 27 17 0 24 Nov 2022
SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation Junliang Chen Xiaodong Zhao Cheng Luo Linlin Shen ViT 29 3 0 26 Oct 2022
Using Language to Extend to Unseen Domains Lisa Dunlap Clara Mohri Devin Guillory Han Zhang Trevor Darrell Joseph E. Gonzalez Aditi Raghunanthan Anja Rohrbach VLM 27 35 0 18 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng ... Arun Innanje Terrence Chen Junsong Yuan David Doermann Ziyan Wu FedML 30 27 0 16 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore Saeid Asgari Taghanaki Aliasghar Khani Fereshte Khani A. Gholami Linh-Tam Tran Ali Mahdavi-Amiri Ghassan Hamarneh AAML 46 45 0 30 Sep 2022
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation Dong Huo Yukun Su Qingyao Wu ViT 45 4 0 30 Sep 2022
Weakly Supervised Semantic Segmentation via Progressive Patch Learning Jinlong Li Zequn Jie Xu Wang Yu Zhou Xiaolin K. Wei Lin Ma VLM 58 20 0 16 Sep 2022
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos Soufiane Belharbi Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 48 12 0 30 Aug 2022
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression Felix Ott N. Raichur David Rügamer Tobias Feigl Heiko Neumann Bernd Bischl Christopher Mutschler 38 1 0 01 Aug 2022
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition Tomoya Nitta Tsubasa Hirakawa H. Fujiyoshi Toru Tamaki 58 0 0 27 Jul 2022
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators A. Watanabe Sara Ketabi Khashayar Namdar Namdar Farzad Khalvati 27 8 0 28 Jun 2022
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training D. Ravì F. Barkhof Daniel C. Alexander Lemuel Puglisi Geoffrey J. M. Parker Arman Eshaghi MedIm 27 4 0 07 Jun 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 30 2 0 22 May 2022
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization Jungbeom Lee Eunji Kim J. Mok Sung-Hoon Yoon WSOL 42 29 0 11 Apr 2022
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation Peng-Tao Jiang Yuqi Yang Qibin Hou Yunchao Wei 26 121 0 07 Apr 2022
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis Sheng Wang Xi Ouyang Tianming Liu Qian Wang Dinggang Shen MedIm 40 66 0 06 Apr 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification Zhibin Liao Kewen Liao Haifeng Shen M. F. van Boxel J. Prijs R. Jaarsma J. Doornberg Anton Van Den Hengel Johan Verjans 30 14 0 21 Mar 2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation Junwen Pan Pengfei Zhu Kaihua Zhang Bing Cao Yu Wang Dingwen Zhang Junwei Han Q. Hu 21 60 0 19 Mar 2022
WegFormer: Transformers for Weakly Supervised Semantic Segmentation Chunmeng Liu Enze Xie Wenjia Wang Wenhai Wang Guangya Li Ping Luo ViT 26 6 0 16 Mar 2022
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation Lian Xu Wanli Ouyang Bennamoun F. Boussaïd Dan Xu ViT 31 210 0 06 Mar 2022
Cross Language Image Matching for Weakly Supervised Semantic Segmentation Jinheng Xie Xianxu Hou Kai Ye Linlin Shen CLIP VLM 25 106 0 05 Mar 2022
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation Zhaozheng Chen Tan Wang Xiongwei Wu Xiansheng Hua Hanwang Zhang Qianru Sun WSOL VLM 46 143 0 02 Mar 2022
DermX: an end-to-end framework for explainable automated dermatological diagnosis Raluca Jalaboi F. Faye Mauricio Orbes-Arteaga D. Jørgensen Ole Winther A. Galimzianova MedIm 19 17 0 14 Feb 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 30 1 0 30 Jan 2022
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 32 62 0 28 Dec 2021
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis Xi Ouyang Srikrishna Karanam Ziyan Wu Terrence Chen Jiayu Huo X. Zhou Qian Wang Jie Cheng OOD 18 89 0 23 Dec 2021
Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation Sung-Hoon Yoon H. Kweon Jaeseok Jeong Hyeonseong Kim Shinjeong Kim Kuk-Jin Yoon 24 7 0 10 Dec 2021
Improving Deep Learning Interpretability by Saliency Guided Training Aya Abdelsalam Ismail H. C. Bravo S. Feizi FAtt 31 80 0 29 Nov 2021
Explainable multiple abnormality classification of chest CT volumes R. Draelos Lawrence Carin MedIm 36 12 0 24 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 29 306 0 01 Nov 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast Ye Du Zehua Fu Qingjie Liu Yunhong Wang 93 131 0 14 Oct 2021