Semi-Supervised Learning with Scarce Annotations

Semi-Supervised Learning with Scarce Annotations

21 May 2019

Sylvestre-Alvise Rebuffi

Sébastien Ehrhardt

Andrea Vedaldi

Andrew Zisserman

Papers citing "Semi-Supervised Learning with Scarce Annotations"

18 / 18 papers shown

Title
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery Yuanpeng Tu Zhun Zhong Yuxi Li Hengshuang Zhao 38 0 0 24 Jan 2024
NBIAS: A Natural Language Processing Framework for Bias Identification in Text Shaina Razaa Muskan Garg Deepak John Reji Syed Raza Bashir Chen Ding 42 45 0 03 Aug 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery Bingchen Zhao Xin Wen Kai Han 33 46 0 10 May 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 29 16 0 08 Feb 2023
Parametric Classification for Generalized Category Discovery: A Baseline Study Xin Wen Bingchen Zhao Xiaojuan Qi 38 67 0 21 Nov 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 52 39 0 04 Aug 2022
Dynamic Curriculum Learning for Great Ape Detection in the Wild Xinyu Yang T. Burghardt Majid Mirmehdi 27 14 0 30 Apr 2022
Generalized Category Discovery S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman 38 188 0 07 Jan 2022
Distribution Estimation to Automate Transformation Policies for Self-Supervision Seunghan Yang Debasmit Das Simyung Chang Sungrack Yun Fatih Porikli 9 6 0 24 Nov 2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation Bingchen Zhao Kai Han 20 106 0 07 Jul 2021
AutoNovel: Automatically Discovering and Learning Novel Visual Categories Kai Han Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Andrea Vedaldi Andrew Zisserman SSL 24 124 0 29 Jun 2021
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data Xu Jia Kai Han Yukun Zhu Bradley Green 147 57 0 26 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 21 109 0 07 Feb 2021
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering B. Lerner Guy Shiran D. Weinshall SSL 20 5 0 01 Dec 2020
Self-Supervised Contextual Bandits in Computer Vision A. Deshmukh Abhimanu Kumar Levi Boyles Denis Xavier Charles Eren Manavoglu Ürün Dogan SSL 31 3 0 18 Mar 2020
Rethinking deep active learning: Using unlabeled data at model training Oriane Siméoni Mateusz Budnik Yannis Avrithis G. Gravier HAI 22 79 0 19 Nov 2019
Learning to Discover Novel Visual Categories via Deep Transfer Clustering Kai Han Andrea Vedaldi Andrew Zisserman SSL 21 291 0 26 Aug 2019