A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification

1 April 2021

Papers citing "A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification"

37 / 37 papers shown

Title
Self-Supervised Pretraining for Fine-Grained Plankton Recognition Joona Kareinen T. Eerola K. Kraft L. Lensu S. Suikkanen Heikki Kälviäinen SSL 498 0 0 14 Mar 2025
Probing the Mid-level Vision Capabilities of Self-Supervised Learning Xuweiyi Chen Markus Marks Zezhou Cheng 177 0 0 25 Nov 2024
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning Bowen Tian Songning Lai Lujundong Li Zhihao Shuai Runwei Guan Tian Wu Yutao Yue VLM 70 1 0 05 Sep 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning Zeju Li Ying-Qiu Zheng Chen Chen Saâd Jbabdi 82 0 0 07 Jul 2024
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning Tian Liu Huixin Zhang Shubham Parashar Shu Kong 96 2 0 17 Jun 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning Kai Gan Tong Wei 87 15 0 20 May 2024
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning Yue Duan Zhen Zhao Lei Qi Luping Zhou Lei Wang Yinghuan Shi 82 4 0 19 Dec 2023
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes Abdelhak Lemkhenter Manchen Wang Luca Zancato Gurumurthy Swaminathan Paolo Favaro Davide Modolo 110 0 0 03 Nov 2023
Prompting Scientific Names for Zero-Shot Species Recognition Shubham Parashar Zhiqiu Lin Yanan Li Shu Kong VLM 77 13 0 15 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 85 0 0 10 Oct 2023
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition Oindrila Saha Subhransu Maji SSL 95 2 0 25 Sep 2023
Systematic comparison of semi-supervised and self-supervised learning for medical image classification Zhe Huang Ruijie Jiang Shuchin Aeron M. C. Hughes SSL OOD 107 7 0 18 Jul 2023
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning Ganlong Zhao Guanbin Li Yipeng Qin Jinjin Zhang Z. Chai Xiaolin K. Wei Liang Lin Yizhou Yu 58 1 0 30 Jun 2023
Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data Shuvendu Roy Ali Etemad 64 1 0 02 Jun 2023
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data Shuvendu Roy Ali Etemad SSL 65 5 0 02 Jun 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Sungnyun Kim Sangmin Bae Se-Young Yun 137 11 0 20 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data Sangwoo Mo Jong-Chyi Su Chih-Yao Ma Mido Assran Ishan Misra Licheng Yu Sean Bell AI4TS 75 14 0 28 Feb 2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification Kanishk Jain Shyamgopal Karthik Vineet Gandhi 73 6 0 01 Feb 2023
Enhancing Self-Training Methods Aswathnarayan Radhakrishnan Jim Davis Zachary Rabin Benjamin Lewis Matthew Scherreik R. Ilin 72 1 0 18 Jan 2023
Continual Learning with Evolving Class Ontologies Zhiqiu Lin Deepak Pathak Yu-Xiong Wang Deva Ramanan Shu Kong CLL 83 9 0 10 Oct 2022
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data Zhe Huang Mary-Joy Sidhom B. Wessler M. C. Hughes 95 10 0 25 Aug 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning Yue Duan Lei Qi Lei Wang Luping Zhou Yinghuan Shi OOD 74 11 0 09 Aug 2022
Augmentation Learning for Semi-Supervised Classification Tim Frommknecht Pedro Alves Zipf Quanfu Fan Nina Shvetsova Hilde Kuehne 66 2 0 03 Aug 2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets Jianguo Huang Lue Tao Renchunzi Xie Lei Feng Bo An OODD 84 39 0 17 Jun 2022
Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime Xun Xu Jingyi Liao Lile Cai M. Nguyen Kangkang Lu Wanyue Zhang Yasin Yazici Chuan-Sheng Foo 135 6 0 06 May 2022
Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning Zhenhailong Wang Hangyeol Yu Manling Li Han Zhao Heng Ji VLM 49 0 0 09 Mar 2022
Class-Aware Contrastive Semi-Supervised Learning Fan Yang Kai Wu Shuyi Zhang Guannan Jiang Yong Liu Feng Zheng Wei Zhang Chengjie Wang Long Zeng 103 101 0 04 Mar 2022
Debiased Self-Training for Semi-Supervised Learning Baixu Chen Junguang Jiang Ximei Wang Pengfei Wan Jianmin Wang Mingsheng Long 122 90 0 15 Feb 2022
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data Ruoyi Du Dongliang Chang Zhanyu Ma Yi-Zhe Song Jun Guo OODD 107 1 0 06 Dec 2021
Semi-Supervised Learning with Taxonomic Labels Jong-Chyi Su Subhransu Maji 112 10 0 23 Nov 2021
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels Subhabrata Choudhury Iro Laina Christian Rupprecht Andrea Vedaldi VLM 80 10 0 05 Nov 2021
Fine-Grained Adversarial Semi-supervised Learning Daniele Mugnai F. Pernici F. Turchini A. Bimbo 101 8 0 12 Oct 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 128 65 0 10 Jun 2021
The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop Jong-Chyi Su Subhransu Maji 71 19 0 02 Jun 2021
The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop Jong-Chyi Su Subhransu Maji 100 26 0 11 Mar 2021
On Equivariant and Invariant Learning of Object Landmark Representations Zezhou Cheng Jong-Chyi Su Subhransu Maji SSL 63 7 0 26 Jun 2020
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 318 1,059 0 23 Oct 2019