ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery

12 June 2024

Kam Woh Ng

Xiatian Zhu

Yi-Zhe Song

Tao Xiang

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Papers citing "ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery"

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Title
Learning Bottleneck Concepts in Image Classification Bowen Wang Liangzhi Li Yuta Nakashima Hajime Nagahara SSL 75 44 0 20 Apr 2023
Label-Free Concept Bottleneck Models Tuomas P. Oikarinen Subhro Das Lam M. Nguyen Tsui-Wei Weng 69 173 0 12 Apr 2023
MaPLe: Multi-modal Prompt Learning Muhammad Uzair Khattak H. Rasheed Muhammad Maaz Salman Khan Fahad Shahbaz Khan VPVLM VLM 251 561 0 06 Oct 2022
SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval Yang Shen Xuhao Sun Xiu-Shen Wei Qing-Yuan Jiang Jian Yang 72 18 0 28 Sep 2022
Conditional Prompt Learning for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VLM CLIP VPVLM 95 1,339 0 10 Mar 2022
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations Wolfgang Stammer Marius Memmel P. Schramowski Kristian Kersting 115 27 0 04 Dec 2021
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge Belongie 107 286 0 11 Nov 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 459 2,382 0 02 Sep 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 59 658 0 22 Jul 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li Ramprasaath R. Selvaraju Akhilesh Deepak Gotmare Shafiq Joty Caiming Xiong Guosheng Lin FaML 167 1,943 0 16 Jul 2021
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization Jun Wang Xiaohan Yu Yongsheng Gao ViT 68 106 0 06 Jul 2021
TransFG: A Transformer Architecture for Fine-grained Recognition Ju He Jieneng Chen Shuai Liu Adam Kortylewski Cheng Yang Yutong Bai Changhu Wang ViT 72 386 0 14 Mar 2021
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision Wonjae Kim Bokyung Son Ildoo Kim VLM CLIP 112 1,735 0 05 Feb 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification Ardhendu Behera Zachary Wharton Pradeep Ruwan Padmasiri Galbokka Hewage Asish Bera 78 110 0 17 Jan 2021
Learning Visual Representations with Caption Annotations Mert Bulent Sariyildiz J. Perez Diane Larlus VLM SSL 80 159 0 04 Aug 2020
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui Qing-Yuan Jiang Xiu-Shen Wei Wu-Jun Li Osamu Yoshie 48 37 0 04 Aug 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 94 818 0 09 Jul 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 54 139 0 21 May 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks Xiujun Li Xi Yin Chunyuan Li Pengchuan Zhang Xiaowei Hu ... Houdong Hu Li Dong Furu Wei Yejin Choi Jianfeng Gao VLM 86 1,934 0 13 Apr 2020
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches Ruoyi Du Dongliang Chang A. Bhunia Jiyang Xie Zhanyu Ma Yi-Zhe Song Jun Guo 103 294 0 08 Mar 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification Dongliang Chang Yifeng Ding Jiyang Xie A. Bhunia Xiaoxu Li Zhanyu Ma Ming Wu Jun Guo Yi-Zhe Song 54 305 0 11 Feb 2020
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes Guolei Sun Hisham Cholakkal Salman Khan Fahad Shahbaz Khan Ling Shao 86 120 0 14 Dec 2019
VisualBERT: A Simple and Performant Baseline for Vision and Language Liunian Harold Li Mark Yatskar Da Yin Cho-Jui Hsieh Kai-Wei Chang VLM 124 1,948 0 09 Aug 2019
Central Similarity Quantization for Efficient Image and Video Retrieval Li-xin Yuan Tao Wang Xiaopeng Zhang Francis E. H. Tay Zequn Jie Wei Liu Jiashi Feng 70 284 0 01 Aug 2019
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 65 383 0 14 Mar 2019
Deep Saliency Hashing Sheng Jin Huanjin Yao Xiaoshuai Sun Shangchen Zhou Lei Zhang Xiansheng Hua 36 47 0 04 Jul 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 120 940 0 20 Jun 2018
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition Ming Sun Yuchen Yuan Feng Zhou Errui Ding 132 352 0 14 Jun 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 185 1,834 0 30 Nov 2017
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 62 779 0 02 Oct 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 809 21,760 0 22 May 2017
Object-Part Attention Model for Fine-grained Image Classification Yuxin Peng Xiangteng He Junjie Zhao OCL VLM 117 338 0 06 Apr 2017
HashNet: Deep Learning to Hash by Continuation Zhangjie Cao Mingsheng Long Jianmin Wang Philip S. Yu 72 620 0 02 Feb 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 330 10,467 0 21 Jul 2016
Bilinear CNNs for Fine-grained Visual Recognition Tsung-Yu Lin Aruni RoyChowdhury Subhransu Maji 121 1,874 0 29 Apr 2015
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 107 2,252 0 21 Jun 2013