Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning

1 June 2021

Papers citing "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning"

7 / 7 papers shown

Title
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification Zhongzheng Huang Jiawei Wu Tao Wang Zuoyong Li Anastasia Ioannou OOD 61 5 0 29 Jul 2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data Qingyu Tan Lu Xu Lidong Bing Hwee Tou Ng 18 4 0 16 Jun 2023
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training Mohammad Rezaei Farnaz Farahanipad Alex Dillhoff V. Athitsos 3DH 42 2 0 27 Mar 2023
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning Haoxing Chen Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Marios Savvides Bhiksha Raj 36 12 0 20 Nov 2022
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 16 44 0 08 Dec 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 281 3,378 0 09 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 253 783 0 05 Dec 2019