Annotation Cost Efficient Active Learning for Content Based Image Retrieval

no code implementations • 20 Jun 2023 • Julia Henkel, Genc Hoxha, Gencer Sumbul, Lars Möllenbrok, Begüm Demir

Unlike the existing AL methods for CBIR, at each AL iteration of ANNEAL a human expert is asked to annotate the most informative image pairs as similar/dissimilar.

Active Learning Content-Based Image Retrieval +2

Active Learning Guided Fine-Tuning for enhancing Self-Supervised Based Multi-Label Classification of Remote Sensing Images

no code implementations • 12 Jun 2023 • Lars Möllenbrok, Begüm Demir

In recent years, deep neural networks (DNNs) have been found very successful for multi-label classification (MLC) of remote sensing (RS) images.

Active Learning Multi-Label Classification

Deep Active Learning for Multi-Label Classification of Remote Sensing Images

no code implementations • 2 Dec 2022 • Lars Möllenbrok, Gencer Sumbul, Begüm Demir

Unlike the existing AL query functions (which are defined for single-label classification or semantic segmentation problems), each query function in this paper is based on the evaluation of two criteria: i) multi-label uncertainty; and ii) multi-label diversity.

Active Learning Clustering +2