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
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching Di Hu Rui Qian Minyue Jiang Xiao Tan Shilei Wen Errui Ding Weiyao Lin Dejing Dou 80 137 0 12 Oct 2020
Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification Rodolfo Quispe Hélio Pedrini 133 43 0 12 Oct 2020
Cluster Activation Mapping with Applications to Medical Imaging S. Ryan N. Carlson Harris Butler T. Fingerlin Lisa Maier Fuyong Xing 10 0 0 09 Oct 2020
Attaining Real-Time Super-Resolution for Microscopic Images Using GAN V. Bhatia Y. Kumar 24 5 0 09 Oct 2020
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization Alexander Katzmann O. Taubmann Stephen Ahmad Alexander Muhlberg M. Sühling H. Groß MedIm 26 19 0 09 Oct 2020
Contralaterally Enhanced Networks for Thoracic Disease Detection Gangming Zhao Chaowei Fang Guanbin Li Licheng Jiao Yizhou Yu MedIm ViT 34 15 0 09 Oct 2020
Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic S. Aliakbarian AI4TS 40 0 0 09 Oct 2020
A Comparative Study on Effects of Original and Pseudo Labels for Weakly Supervised Learning for Car Localization Problem Cenk Bircanoglu SSL WSOL 20 0 0 08 Oct 2020
COVID-19 Classification Using Staked Ensembles: A Comprehensive Analysis B. LalithBharadwaj Rohit Boddeda K. Vardhan G. Madhu 28 1 0 07 Oct 2020
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging Xuelin Qian Huazhu Fu Weiya Shi Tao Chen Yanwei Fu F. Shan Xiangyang Xue 73 51 0 07 Oct 2020
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging G. Liang Connor Greenwell Yu Zhang Xiaoqin Wang Ramakanth Kavuluru Nathan Jacobs 107 22 0 06 Oct 2020
IS-CAM: Integrated Score-CAM for axiomatic-based explanations Rakshit Naidu Ankita Ghosh Yash Maurya K. ShamanthRNayak Soumya Snigdha Kundu FAtt 121 46 0 06 Oct 2020
A Data Set and a Convolutional Model for Iconography Classification in Paintings Federico Milani Piero Fraternali 103 51 0 06 Oct 2020
Exploring the Interchangeability of CNN Embedding Spaces David G. McNeely-White Benjamin Sattelberg Nathaniel Blanchard Ross Beveridge CVBM 46 1 0 05 Oct 2020
Model-Free Control of Dynamical Systems with Deep Reservoir Computing D. Canaday Andrew Pomerance D. Gauthier 56 33 0 05 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting Sayna Ebrahimi Suzanne Petryk Akash Gokul William Gan Joseph E. Gonzalez Marcus Rohrbach Trevor Darrell CLL 83 47 0 04 Oct 2020
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks Kun Yuan Quanquan Li Dapeng Chen Aojun Zhou Junjie Yan GNN 70 1 0 02 Oct 2020
Taking Modality-free Human Identification as Zero-shot Learning Zhizhe Liu Xingxing Zhang Zhenfeng Zhu Shuai Zheng Yao Zhao Jian Cheng 56 4 0 02 Oct 2020
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation S. Sattarzadeh M. Sudhakar Anthony Lem Shervin Mehryar K. N. Plataniotis Jongseong Jang Hyunwoo J. Kim Yeonjeong Jeong Sang-Min Lee Kyunghoon Bae FAtt XAI 55 33 0 01 Oct 2020
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 79 38 0 01 Oct 2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs C. Seibold Jens Kleesiek H. Schlemmer Rainer Stiefelhagen SSL 49 6 0 30 Sep 2020
Learning Object Detection from Captions via Textual Scene Attributes Achiya Jerbi Roei Herzig Jonathan Berant Gal Chechik Amir Globerson 79 21 0 30 Sep 2020
Explainable Deep Reinforcement Learning for UAV Autonomous Navigation Lei He Nabil Aouf Bifeng Song 74 11 0 30 Sep 2020
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification Chu-ran Wang Jing Li Fandong Zhang Xinwei Sun Hao Dong Yizhou Yu Yizhou Wang GAN MedIm 42 15 0 30 Sep 2020
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach Nicholas F Halliwell Freddy Lecue FAtt 118 9 0 29 Sep 2020
Spatial Attention as an Interface for Image Captioning Models P. Sadler 53 0 0 29 Sep 2020
Weakly-supervised Salient Instance Detection Xin Tian Ke Xu Xin Yang Baocai Yin Rynson W. H. Lau WSOD 78 22 0 29 Sep 2020
Where is the Model Looking At?--Concentrate and Explain the Network Attention Wenjia Xu Jiuniu Wang Yang Wang Guangluan Xu Wei Dai Yirong Wu XAI 90 17 0 29 Sep 2020
Artificial Intelligence in Surgery: Neural Networks and Deep Learning Deepak Alapatt Pietro Mascagni V. Srivastav N. Padoy AI4CE 77 2 0 28 Sep 2020
Instance-based Counterfactual Explanations for Time Series Classification Eoin Delaney Derek Greene Mark T. Keane CML AI4TS 63 91 0 28 Sep 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 115 235 0 28 Sep 2020
An Explainable Model for EEG Seizure Detection based on Connectivity Features Mohamad Mansour Fouad Khnaisser Hmayag Partamian 28 6 0 26 Sep 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation Dong Zhang Hanwang Zhang Jinhui Tang Xiansheng Hua Qianru Sun CML ISeg 131 455 0 26 Sep 2020
A light-weight method to foster the (Grad)CAM interpretability and explainability of classification networks Alfred Schöttl FAtt 32 9 0 26 Sep 2020
Piece-wise Matching Layer in Representation Learning for ECG Classification B. Ghazanfari Fatemeh Afghah Sixian Zhang AI4TS 46 0 0 26 Sep 2020
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization Minsong Ki Youngjung Uh W. Lee H. Byun WSOL 95 30 0 25 Sep 2020
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images D. M. Nguyen Duy M. Nguyen Huong Vu Binh T. Nguyen Fabrizio Nunnari Daniel Sonntag 64 1 0 23 Sep 2020
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors Yi-Shan Lin Wen-Chuan Lee Z. Berkay Celik XAI 102 97 0 22 Sep 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation Ran Gu Guotai Wang Tao Song Rui Huang Michael Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren Shaoting Zhang SSeg 135 473 0 22 Sep 2020
DR2S : Deep Regression with Region Selection for Camera Quality Evaluation Marcelin Tworski Stéphane Lathuilière Salim Belkarfa Attilio Fiandrotti Marco Cagnazzo 3DH 27 4 0 21 Sep 2020
Deriving Visual Semantics from Spatial Context: An Adaptation of LSA and Word2Vec to generate Object and Scene Embeddings from Images M. Treder Juan Mayor-Torres C. Teufel 25 3 0 20 Sep 2020
An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization Minhui Jin Mengce Zheng Honggang Hu Nenghai Yu AAML 31 15 0 18 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 122 28 0 18 Sep 2020
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual Localization Hanjiang Hu Hesheng Wang Yanfeng Guo Weidong Chen 70 27 0 16 Sep 2020
DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing Rizhao Cai Haoliang Li Shiqi Wang Changsheng Chen Alex C. Kot CVBM 82 73 0 16 Sep 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 134 393 0 15 Sep 2020
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition Liangzhi Li Bowen Wang Manisha Verma Yuta Nakashima R. Kawasaki Hajime Nagahara OCL 90 51 0 14 Sep 2020
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis Jannis Born Nina Wiedemann G. Brändle Charlotte Buhre Bastian Rieck Karsten Borgwardt 85 45 0 13 Sep 2020
Deep Transparent Prediction through Latent Representation Analysis D. Kollias N. Bouas Y. Vlaxos V. Brillakis M. Seferis I. Kollia L. Sukissian J. Wingate Stefanos D. Kollias 61 88 0 13 Sep 2020
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning Jinpeng Wang Yuting Gao Ke Li Yiqi Lin A. J. Ma Hao Cheng Pai Peng Feiyue Huang Rongrong Ji Xing Sun SSL 140 97 0 12 Sep 2020