Learning Deep Features for Discriminative Localization

14 December 2015

Antonio Torralba

Papers citing "Learning Deep Features for Discriminative Localization"

50 / 3,312 papers shown

Title
Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks Iñigo Azqueta-Gavaldon Florian A. Fröhlich Klaus H. Strobl Rudolph Triebel GAN MedIm 16 9 0 05 Jun 2020
Black-box Explanation of Object Detectors via Saliency Maps Vitali Petsiuk R. Jain Varun Manjunatha Vlad I. Morariu Ashutosh Mehra Vicente Ordonez Kate Saenko FAtt 83 126 0 05 Jun 2020
SIDU: Similarity Difference and Uniqueness Method for Explainable AI Satya M. Muddamsetty M. N. Jahromi T. Moeslund 39 11 0 04 Jun 2020
MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model Explanations Qing Yang Xia Zhu Jong-Kae Fwu Yun Ye Ganmei You Yuan Zhu AAML 74 20 0 04 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Helen Zhou Shuiwang Ji 116 402 0 03 Jun 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization A. Uddin Sirazam Monira Wheemyung Shin TaeChoong Chung Sung-Ho Bae 114 229 0 02 Jun 2020
Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment Chao Chen Zhihong Chen Xinyu Jin Lanjuan Li W. Speier C. Arnold 23 4 0 30 May 2020
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study Luyao Shi Deepta Rajan Shafiq Abedin Srikar Yellapragada David Beymer E. Dehghan 65 18 0 29 May 2020
Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling Wenwu Ye Jin Yao Hui Xue Yi Li WSOL 65 66 0 29 May 2020
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries M. Seiler Heike Trautmann P. Kerschke AAML 29 0 0 27 May 2020
Integrating Deep Learning into CAD/CAE System: Generative Design and Evaluation of 3D Conceptual Wheel Soyoung Yoo Sunghee Lee Seongsin Kim Kwang Hyeon Hwang Jong Ho Park Namwoo Kang AI4CE 78 110 0 25 May 2020
End-to-End Auditory Object Recognition via Inception Nucleus M. K. Ebrahimpour Timothy M. Shea Andreea Danielescu D. Noelle Christopher T. Kello 47 8 0 25 May 2020
Automating the Surveillance of Mosquito Vectors from Trapped Specimens Using Computer Vision Techniques M. Minakshi Pratool Bharti Willie B. McClinton Jamshidbek Mirzakhalov R. Carney Sriram Chellappan 26 17 0 25 May 2020
Feature Robust Optimal Transport for High-dimensional Data Mathis Petrovich Chao Liang Ryoma Sato Yanbin Liu Yao-Hung Hubert Tsai Linchao Zhu Yi Yang Ruslan Salakhutdinov M. Yamada OT OOD 93 7 0 25 May 2020
An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics Sarah Schmell Falk Zakrzewski Walter de Back Martin Weigert Uwe Schmidt ... C. Sperling Ingo Roeder P. Hoenscheid D. Aust G. Baretton 38 2 0 25 May 2020
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method Jian Jia Houjing Huang Wenjie Yang Xiaotang Chen Kaiqi Huang 95 44 0 25 May 2020
Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification Prateek Shroff Tianlong Chen Yunchao Wei Zhangyang Wang 41 12 0 22 May 2020
Unsupervised segmentation via semantic-apparent feature fusion Xi Li Huimin Ma Hongbing Ma Yidong Wang 34 0 0 21 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 87 141 0 21 May 2020
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition Di Hu Xuhong Li Lichao Mou P. Jin Dong Chen L. Jing Xiaoxiang Zhu Dejing Dou 54 6 0 18 May 2020
Single-Stage Semantic Segmentation from Image Labels Nikita Araslanov Stefan Roth 122 257 0 16 May 2020
Visual Relationship Detection using Scene Graphs: A Survey Aniket Agarwal Ayush Mangal Vipul GNN 70 21 0 16 May 2020
Ventral-Dorsal Neural Networks: Object Detection via Selective Attention M. K. Ebrahimpour Jiayun Li Yen-Yun Yu Jackson Reesee Azadeh Moghtaderi Ming-Hsuan Yang D. Noelle ObjD 67 20 0 15 May 2020
WW-Nets: Dual Neural Networks for Object Detection M. K. Ebrahimpour J. Falandays S. Spevack Ming-Hsuan Yang D. Noelle 48 4 0 15 May 2020
Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement Chuong Huynh Trung-Hieu Nguyen M. Tran MedIm 34 4 0 13 May 2020
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing Yixiong Zou Shanghang Zhang Ke Chen Yonghong Tian Yaowei Wang J. M. F. Moura 49 27 0 12 May 2020
Recurrent and Spiking Modeling of Sparse Surgical Kinematics N. Getty Zixuan Zhou S. Gruessner Liaohai Chen Fangfang Xia 56 3 0 12 May 2020
Unsupervised Multi-label Dataset Generation from Web Data Carlos Roig David Varas Issey Masuda J. C. Riveiro Elisenda Bou 40 3 0 12 May 2020
Fine-Grained Visual Classification with Efficient End-to-end Localization Harald Hanselmann Hermann Ney 55 5 0 11 May 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network Jinkyu Kim Mayank Bansal 99 13 0 08 May 2020
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images Kelei He Wei Zhao Xingzhi Xie Wen Ji Mingxia Liu ... F. Shi Yang Gao Jun Liu Junfeng Zhang Dinggang Shen 83 98 0 08 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia Xi Ouyang Jiayu Huo L. Xia F. Shan Jun Liu ... Xiaohuan Cao Yaozong Gao Dijia Wu Qian Wang Dinggang Shen 69 311 0 06 May 2020
Automatic Tracking of the Muscle Tendon Junction in Healthy and Impaired Subjects using Deep Learning Christoph Leitner Robert Jarolim A. Konrad A. Kruse M. Tilp Jorg Schrottner Christian F. Baumgartner MedIm 101 6 0 05 May 2020
On the Benefits of Models with Perceptually-Aligned Gradients Gunjan Aggarwal Abhishek Sinha Nupur Kumari M. Singh AAML 70 16 0 04 May 2020
Towards Visually Explaining Video Understanding Networks with Perturbation Zhenqiang Li Weimin Wang Zuoyue Li Yifei Huang Yoichi Sato FAtt 38 3 0 01 May 2020
A cascade network for Detecting COVID-19 using chest x-rays Dailin Lv Wuteng Qi Yunxiang Li Lingling Sun Yaqi Wang 39 39 0 01 May 2020
Hide-and-Seek: A Template for Explainable AI Thanos Tagaris A. Stafylopatis 31 6 0 30 Apr 2020
DIABLO: Dictionary-based Attention Block for Deep Metric Learning Pierre Jacob David Picard A. Histace Edouard Klein 20 1 0 30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 120 382 0 30 Apr 2020
Do We Need Fully Connected Output Layers in Convolutional Networks? Zhongchao Qian Tyler L. Hayes Kushal Kafle Christopher Kanan 49 9 0 28 Apr 2020
Gradient-Induced Co-Saliency Detection Zhao Zhang Wenda Jin Jun Xu Ming-Ming Cheng 133 110 0 28 Apr 2020
A scoping review of transfer learning research on medical image analysis using ImageNet M. Morid Alireza Borjali G. Fiol 99 370 0 27 Apr 2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations Patrick Esser Robin Rombach Bjorn Ommer 67 88 0 27 Apr 2020
Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Nodes Sohee Cho Ginkyeng Lee Wonjoon Chang Jaesik Choi 73 16 0 27 Apr 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data Ruchit Rawal Prabhu Pradhan 42 1 0 26 Apr 2020
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease Eduardo Nigri N. Ziviani F. Cappabianco Augusto Antunes Adriano Veloso MedIm 34 39 0 25 Apr 2020
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening Chun-Fu Yeh Hsien-Tzu Cheng Andy Wei Hsin-Ming Chen Po-Chen Kuo ... Nai-Kuan Chou Kuan-Hua Chao Yi-Chin Tu Yeun-Chung Chang Tyng-Luh Liu 42 43 0 24 Apr 2020
A Light CNN for detecting COVID-19 from CT scans of the chest M. Polsinelli Luigi Cinque G. Placidi OOD 41 277 0 24 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Helen Zhou AAML 65 8 0 23 Apr 2020
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study Isarun Chamveha T. Tongdee P. Saiviroonporn Warasinee Chaisangmongkon 24 5 0 23 Apr 2020