Making Your First Choice: To Address Cold Start Problem in Vision Active
Learning

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning

5 October 2022

Siyu Huang

Zongwei Zhou

Papers citing "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"

8 / 8 papers shown

Title
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 112 0 0 25 Apr 2025
$Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning$ Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning V. Nath Dong Yang H. Roth Daguang Xu 34 25 0 13 Sep 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets Guy Hacohen Avihu Dekel D. Weinshall 119 116 0 06 Feb 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 161 645 0 27 Oct 2021
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 104 180 0 19 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 151 195 0 16 Oct 2019
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,599 0 19 Feb 2017