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09/12/2023
Active Label Refinement for Semantic Segmentation of Satellite Images
Remote sensing through semantic segmentation of satellite images contrib...
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06/16/2023
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
Deep active learning (DAL) seeks to reduce annotation costs by enabling ...
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04/05/2023
Multi-annotator Deep Learning: A Probabilistic Framework for Classification
Solving complex classification tasks using deep neural networks typicall...
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10/12/2022
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning
Retraining deep neural networks when new data arrives is typically compu...
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10/06/2022
A Review of Uncertainty Calibration in Pretrained Object Detectors
In the field of deep learning based computer vision, the development of ...
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09/23/2021
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
Pool-based active learning (AL) aims to optimize the annotation process ...
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05/04/2021
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders
Deep neural networks often suffer from overconfidence which can be partl...
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06/02/2020
Toward Optimal Probabilistic Active Learning Using a Bayesian Approach
Gathering labeled data to train well-performing machine learning models ...
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01/29/2019
