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"

14 / 14 papers shown

Title
Self-Supervised Pretraining for Fine-Grained Plankton Recognition Joona Kareinen T. Eerola K. Kraft L. Lensu S. Suikkanen H. Kalviainen SSL 154 0 0 14 Mar 2025
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 30 4 0 19 Dec 2023
Prompting Scientific Names for Zero-Shot Species Recognition Shubham Parashar Zhiqiu Lin Yanan Li Shu Kong VLM 15 12 0 15 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 30 0 0 10 Oct 2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification Kanishk Jain Shyamgopal Karthik Vineet Gandhi 19 5 0 01 Feb 2023
Enhancing Self-Training Methods Aswathnarayan Radhakrishnan Jim Davis Zachary Rabin Benjamin Lewis Matthew Scherreik R. Ilin 19 1 0 18 Jan 2023
Continual Learning with Evolving Class Ontologies Zhiqiu Lin Deepak Pathak Yu-xiong Wang Deva Ramanan Shu Kong CLL 36 9 0 10 Oct 2022
Debiased Self-Training for Semi-Supervised Learning Baixu Chen Junguang Jiang Ximei Wang Pengfei Wan Jianmin Wang Mingsheng Long 26 85 0 15 Feb 2022
Semi-Supervised Learning with Taxonomic Labels Jong-Chyi Su Subhransu Maji 33 10 0 23 Nov 2021
Fine-Grained Adversarial Semi-supervised Learning Daniele Mugnai F. Pernici F. Turchini A. Bimbo 22 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 34 62 0 10 Jun 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 264 3,369 0 09 Mar 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 199 243 0 14 Jun 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 249 1,275 0 06 Mar 2017