Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions

Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions

29 May 2025

Dongliang Chang

Papers citing "Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions"

19 / 19 papers shown

Title
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization Qin Xu Sitong Li Jiahui Wang Bo Jiang Jinhui Tang 53 3 0 15 Mar 2024
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification Peijie Qiu Pan Xiao Wenhui Zhu Yalin Wang Aristeidis Sotiras 66 5 0 31 Oct 2023
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions Takanori Asanomi Shinnosuke Matsuo D. Suehiro Ryoma Bise 33 9 0 17 Aug 2023
Easy Learning from Label Proportions R. Busa-Fekete Heejin Choi Travis Dick Claudio Gentile Andrés Munoz Medina 35 14 0 06 Feb 2023
Learning from Label Proportions by Learning with Label Noise Jianxin Zhang Yutong Wang Clayton Scott NoLa 37 25 0 04 Mar 2022
Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers Renzhen Wang De cai Kaiwen Xiao Xixi Jia Xiao Han Deyu Meng 56 2 0 04 Dec 2021
Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization M. Gwilliam Adam Teuscher Connor Anderson Ryan Farrell 38 13 1 07 Sep 2021
TransFG: A Transformer Architecture for Fine-grained Recognition Ju He Jieneng Chen Shuai Liu Adam Kortylewski Cheng Yang Yutong Bai Changhu Wang ViT 63 385 0 14 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 681 28,659 0 26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 397 40,217 0 22 Oct 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 94 294 0 08 Mar 2020
Learning from Label Proportions with Consistency Regularization Kuen-Han Tsai Hsuan-Tien Lin 34 45 0 29 Oct 2019
Co-training for Demographic Classification Using Deep Learning from Label Proportions Ehsan Mohammady Ardehaly A. Culotta VLM 32 61 0 13 Sep 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 162 2,543 0 07 Oct 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 231 8,030 0 13 Aug 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification André F. T. Martins Ramón Fernández Astudillo 122 711 0 05 Feb 2016
On Learning from Label Proportions Felix X. Yu Krzysztof Choromanski Sanjiv Kumar Tony Jebara Shih-Fu Chang 59 84 0 24 Feb 2014
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 86 2,227 0 21 Jun 2013
$$\propto$SVM for learning with label proportions$ $\propto$ SVM for learning with label proportions Felix X. Yu Dong Liu Sanjiv Kumar Tony Jebara Shih-Fu Chang VLM 47 56 0 04 Jun 2013