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Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes

29 November 2021

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Papers citing "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes"

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Title
PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation U. Jeong J. Freer Seungryul Baek H. Chang K. Kim 3DH 70 0 0 23 May 2025
Can Masked Autoencoders Also Listen to Birds? Lukas Rauch Ilyass Moummad René Heinrich Alexis Joly Bernhard Sick Christoph Scholz 121 0 0 17 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 228 1 0 14 Apr 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 137 0 0 24 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 161 3 0 28 Jan 2025
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 67 2 0 07 Nov 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 260 0 0 14 Sep 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability Nir Yellinek Leonid Karlinsky Raja Giryes CoGe VLM 255 3 0 28 Dec 2023
Leveraging Habitat Information for Fine-grained Bird Identification Tin Nguyen Peijie Chen Anh Totti Nguyen VLM 76 0 0 22 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 109 1 0 30 Nov 2023
Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning A. Barnett F. Schwartz Chaofan Tao Chaofan Chen Yinhao Ren J. Lo Cynthia Rudin 84 21 0 12 Jul 2021
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography A. Barnett F. Schwartz Chaofan Tao Chaofan Chen Yinhao Ren J. Lo Cynthia Rudin 75 140 0 23 Mar 2021
Neural Prototype Trees for Interpretable Fine-grained Image Recognition Meike Nauta Ron van Bree C. Seifert 148 269 0 03 Dec 2020
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition Meike Nauta Annemarie Jutte Jesper C. Provoost C. Seifert FAtt 63 65 0 05 Nov 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters Haoyun Liang Zhihao Ouyang Yuyuan Zeng Hang Su Zihao He Shutao Xia Jun Zhu Bo Zhang 70 47 0 16 Jul 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 77 140 0 21 May 2020
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition Heliang Zheng Jianlong Fu Zhengjun Zha Jiebo Luo 92 384 0 14 Mar 2019
Deformable ConvNets v2: More Deformable, Better Results Xizhou Zhu Han Hu Stephen Lin Jifeng Dai ObjD 108 2,018 0 27 Nov 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 243 1,186 0 27 Jun 2018
CosFace: Large Margin Cosine Loss for Deep Face Recognition Haobo Wang Yitong Wang Zheng Zhou Xing Ji Dihong Gong Jin Zhou Zhifeng Li Wei Liu CVBM MQ 133 2,508 0 29 Jan 2018
Additive Margin Softmax for Face Verification Feng Wang Weiyang Liu Haijun Liu Jian Cheng CVBM 93 1,274 0 17 Jan 2018
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions Oscar Li Hao Liu Chaofan Chen Cynthia Rudin 176 591 0 13 Oct 2017
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 204 2,226 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu Yandong Wen Zhiding Yu Ming Li Bhiksha Raj Le Song CVBM 234 2,804 0 26 Apr 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 203 3,879 0 10 Apr 2017
Active Convolution: Learning the Shape of Convolution for Image Classification Yunho Jeon Junmo Kim 71 171 0 27 Mar 2017
Deformable Convolutional Networks Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei 201 5,337 0 17 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 6,015 0 04 Mar 2017
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 81 1,456 0 07 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 775 36,861 0 25 Aug 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 83 5 0 30 May 2016
Fully Convolutional Attention Networks for Fine-Grained Recognition Xiao-Chang Liu Tian Xia Jiang Wang Yi Yang Feng Zhou Yuanqing Lin 58 102 0 22 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,326 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 124 1,874 0 22 Jun 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 306 7,389 0 05 Jun 2015
Bilinear CNNs for Fine-grained Visual Recognition Tsung-Yu Lin Aruni RoyChowdhury Subhransu Maji 133 1,875 0 29 Apr 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,681 0 21 Dec 2014
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection Wanli Ouyang Xiaogang Wang Xingyu Zeng Shi Qiu Ping Luo ... Hongsheng Li Shuo Yang Zhe Wang Chen Change Loy Xiaoou Tang ObjD 73 438 0 17 Dec 2014
Deformable Part Models are Convolutional Neural Networks Ross B. Girshick F. Iandola Trevor Darrell Jitendra Malik 81 457 0 18 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,308 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,893 0 12 Nov 2013