Björn Barz

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Friedrich-Schiller-Universität Jena

Information-Theoretic Active Learning for Content-Based Image Retrieval

We propose Information-Theoretic Active Learning (ITAL), a novel batch-m...
09/07/2018 ∙ by Björn Barz, et al. ∙ 6 ∙ share

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Hierarchy-based Image Embeddings for Semantic Image Retrieval

Deep neural networks trained for classification have been found to learn...
09/26/2018 ∙ by Björn Barz, et al. ∙ 2 ∙ share

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Fast Learning and Prediction for Object Detection using Whitened CNN Features

We combine features extracted from pre-trained convolutional neural netw...
04/10/2017 ∙ by Björn Barz, et al. ∙ 0 ∙ share

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Maximally Divergent Intervals for Anomaly Detection

We present new methods for batch anomaly detection in multivariate time ...
10/21/2016 ∙ by Erik Rodner, et al. ∙ 0 ∙ share

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ARTOS -- Adaptive Real-Time Object Detection System

ARTOS is all about creating, tuning, and applying object detection model...
07/10/2014 ∙ by Björn Barz, et al. ∙ 0 ∙ share

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Automatic Query Image Disambiguation for Content-Based Image Retrieval

Query images presented to content-based image retrieval systems often ha...
11/02/2017 ∙ by Björn Barz, et al. ∙ 0 ∙ share

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Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection

Automatic detection of anomalies in space- and time-varying measurements...
04/19/2018 ∙ by Björn Barz, et al. ∙ 0 ∙ share

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Towards Automatic Identification of Elephants in the Wild

Identifying animals from a large group of possible individuals is very i...
12/11/2018 ∙ by Matthias Körschens, et al. ∙ 0 ∙ share

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Deep Learning on Small Datasets without Pre-Training using Cosine Loss

Two things seem to be indisputable in the contemporary deep learning dis...
01/25/2019 ∙ by Björn Barz, et al. ∙ 0 ∙ share

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Do we train on test data? Purging CIFAR of near-duplicates

We find that 3.3 sets, respectively, have duplicates in the training set...
02/01/2019 ∙ by Björn Barz, et al. ∙ 0 ∙ share

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Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images

The analysis of natural disasters such as floods in a timely manner ofte...
08/09/2019 ∙ by Björn Barz, et al. ∙ 0 ∙ share

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Björn Barz

Featured Co-authors

Bin Yang

Joachim Denzler

Erik Rodner

Christoph Käding

Paul Bodesheim

Markus Reichstein

Miguel Mahecha

Matthias Körschens

Kai Schröter

Moritz Münch

Andrea Unger

Information-Theoretic Active Learning for Content-Based Image Retrieval

Hierarchy-based Image Embeddings for Semantic Image Retrieval

Fast Learning and Prediction for Object Detection using Whitened CNN Features

Maximally Divergent Intervals for Anomaly Detection

ARTOS -- Adaptive Real-Time Object Detection System

Automatic Query Image Disambiguation for Content-Based Image Retrieval

Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection

Towards Automatic Identification of Elephants in the Wild

Deep Learning on Small Datasets without Pre-Training using Cosine Loss

Do we train on test data? Purging CIFAR of near-duplicates

Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images