Learning Deep Features for Discriminative Localization

14 December 2015

Antonio Torralba

Papers citing "Learning Deep Features for Discriminative Localization"

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Title
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning David Vázquez-Lema E. Mosqueira-Rey Elena Hernández-Pereira Carlos Fernández-Lozano Fernando Seara-Romera Jorge Pombo-Otero LM&MA 41 1 0 29 Mar 2024
Efficient Modulation for Vision Networks Xu Ma Xiyang Dai Jianwei Yang Bin Xiao Yinpeng Chen Yun Fu Lu Yuan 48 17 0 29 Mar 2024
PLOT-TAL -- Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization Edward Fish Jon Weinbren Andrew Gilbert 57 1 0 27 Mar 2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks Mihir Mulye Matias Valdenegro-Toro UQCV FAtt 49 0 0 25 Mar 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning Kaile Du Yifan Zhou Fan Lyu Yuyang Li Chen Lu Guangcan Liu CLL 49 2 0 19 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 72 6 0 18 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Tong Zhang Xu Guo Zhiqi Shen XAI 34 19 0 15 Mar 2024
What Sketch Explainability Really Means for Downstream Tasks Hmrishav Bandyopadhyay Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Tao Xiang Yi-Zhe Song 35 4 0 14 Mar 2024
EventRPG: Event Data Augmentation with Relevance Propagation Guidance Mingyuan Sun Donghao Zhang Zongyuan Ge Jiaxu Wang Jia Li Zheng Fang Renjing Xu 37 7 0 14 Mar 2024
Matching Non-Identical Objects Yusuke Marumo Kazuhiko Kawamoto Hiroshi Kera 40 0 0 13 Mar 2024
One Category One Prompt: Dataset Distillation using Diffusion Models Ali Abbasi Ashkan Shahbazi Hamed Pirsiavash Soheil Kolouri DiffM DD 42 3 0 11 Mar 2024
Feature CAM: Interpretable AI in Image Classification Frincy Clement Ji Yang Irene Cheng FAtt 36 1 0 08 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 71 2 0 27 Feb 2024
Fingerprint Presentation Attack Detector Using Global-Local Model Haozhe Liu Wentian Zhang Feng Liu Haoqian Wu Linlin Shen 42 23 0 20 Feb 2024
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling Philip Muller Felix Meissen Georgios Kaissis Daniel Rueckert 31 3 0 19 Feb 2024
NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness Xabier Echeberria-Barrio Mikel Gorricho Selene Valencia Francesco Zola AAML 31 1 0 12 Feb 2024
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation Woojung Han Seil Kang Kyobin Choo Seong Jae Hwang 32 0 0 05 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 41 7 0 26 Jan 2024
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition Sangyu Han Yearim Kim Nojun Kwak AAML 31 1 0 25 Jan 2024
Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation Ci-Siang Lin Chien-Yi Wang Yu-Chiang Frank Wang Min-Hung Chen VLM 33 0 0 22 Jan 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 36 2 0 18 Jan 2024
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification Adrian Gheorghiu Iulian-Marius Taiatu Dumitru-Clementin Cercel Iuliana Marin Florin-Catalin Pop 59 2 0 11 Jan 2024
Multi-modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation Xiawei Li Qingyuan Xu Jing Zhang Tianyi Zhang Qian Yu Lu Sheng Dong Xu 34 3 0 27 Dec 2023
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation Chengming Hu Haolun Wu Xuan Li Chen Ma Xi Chen Jun Yan Boyu Wang Xue Liu 40 3 0 22 Dec 2023
PICNN: A Pathway towards Interpretable Convolutional Neural Networks Wengang Guo Jiayi Yang Huilin Yin Qijun Chen Wei Ye 41 3 0 19 Dec 2023
CAManim: Animating end-to-end network activation maps Emily Kaczmarek Olivier X. Miguel Alexa C. Bowie R. Ducharme Alysha L. J. Dingwall-Harvey S. Hawken Christine M. Armour Mark C. Walker Kevin Dick HAI 39 1 0 19 Dec 2023
Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation Jingxuan He Lechao Cheng Chaowei Fang Zunlei Feng Tingting Mu Min-Gyoo Song 28 7 0 14 Dec 2023
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion Xin You Ming Ding Minghui Zhang Hanxiao Zhang Yi Yu Jie Yang Yun Gu 51 1 0 13 Dec 2023
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 67 2 0 12 Dec 2023
Ensemble Interpretation: A Unified Method for Interpretable Machine Learning Chao Min Guoyong Liao Guo-quan Wen Yingjun Li Xing Guo FAtt 19 0 0 11 Dec 2023
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models Balachandar Gowrisankar V. Thing AAML 34 11 0 08 Dec 2023
Describing Differences in Image Sets with Natural Language Lisa Dunlap Yuhui Zhang Xiaohan Wang Ruiqi Zhong Trevor Darrell Jacob Steinhardt Joseph E. Gonzalez Serena Yeung-Levy CoGe VLM 37 30 0 05 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning Ruxiao Duan Yaoyao Liu Jieneng Chen Adam Kortylewski Alan Yuille DiffM VLM 43 1 0 30 Nov 2023
MetaDefa: Meta-learning based on Domain Enhancement and Feature Alignment for Single Domain Generalization Can Sun Hao Zheng Zhigang Hu Liu Yang Meiguang Zheng Bo Xu 21 0 0 27 Nov 2023
Towards Interpretable Classification of Leukocytes based on Deep Learning S. Röhrl Johannes Groll M. Lengl Simon Schumann C. Klenk D. Heim Martin Knopp Oliver Hayden Klaus Diepold 30 2 0 24 Nov 2023
SkeletonGait: Gait Recognition Using Skeleton Maps Chao Fan Jingzhe Ma Dongyang Jin Chuanfu Shen Shiqi Yu CVBM 34 22 0 22 Nov 2023
P2RBox: Point Prompt Oriented Object Detection with SAM Guangming Cao Xuehui Yu Wenwen Yu Xumeng Han Xue Yang Guorong Li Jianbin Jiao Zhenjun Han 39 4 0 22 Nov 2023
Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting David Latortue Moetez Kdayem F. Guerrero-Peña Eric Granger M. Pedersoli 26 0 0 20 Nov 2023
PMP-Swin: Multi-Scale Patch Message Passing Swin Transformer for Retinal Disease Classification Zhihan Yang Zhiming Cheng Tengjin Weng Shucheng He Yaqi Wang Xin Ye Shuai Wang MedIm 11 1 0 20 Nov 2023
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentation Xin Yue Xiaoling Liu Qing Zhao Jianqiang Li Changwei Song Suqin Liu Zhikai Yang Guanghui Fu MedIm 29 2 0 18 Nov 2023
A Saliency-based Clustering Framework for Identifying Aberrant Predictions A. Tersol Montserrat Alexander R. Loftus Yael Daihes 14 0 0 11 Nov 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 24 5 0 10 Nov 2023
Inter-object Discriminative Graph Modeling for Indoor Scene Recognition Chuanxin Song Hanbo Wu Xin Ma 29 6 0 10 Nov 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 33 4 0 09 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
Zero-shot Translation of Attention Patterns in VQA Models to Natural Language Leonard Salewski A. Sophia Koepke Hendrik P. A. Lensch Zeynep Akata 47 2 0 08 Nov 2023
Advancing Post Hoc Case Based Explanation with Feature Highlighting Eoin M. Kenny Eoin Delaney Markt. Keane 36 5 0 06 Nov 2023
MENTOR: Human Perception-Guided Pretraining for Increased Generalization Colton R. Crum Adam Czajka 69 1 0 30 Oct 2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection Zhuohao Sun Yiqiao Qiu Zhijun Tan Weishi Zheng Ruixuan Wang OODD 25 6 0 27 Oct 2023
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks Parth Padalkar Gopal Gupta 37 3 0 19 Oct 2023