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Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era
Content-based image retrieval has seen astonishing progress over the pas...
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Finding Relevant Flood Images on Twitter using Content-based Filters
The analysis of natural disasters such as floods in a timely manner ofte...
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Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
Noisy data, crawled from the web or supplied by volunteers such as Mecha...
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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...
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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...
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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...
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Towards Automatic Identification of Elephants in the Wild
Identifying animals from a large group of possible individuals is very i...
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Hierarchy-based Image Embeddings for Semantic Image Retrieval
Deep neural networks trained for classification have been found to learn...
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Information-Theoretic Active Learning for Content-Based Image Retrieval
We propose Information-Theoretic Active Learning (ITAL), a novel batch-m...
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Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection
Automatic detection of anomalies in space- and time-varying measurements...
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Automatic Query Image Disambiguation for Content-Based Image Retrieval
Query images presented to content-based image retrieval systems often ha...
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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...
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Maximally Divergent Intervals for Anomaly Detection
We present new methods for batch anomaly detection in multivariate time ...
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ARTOS -- Adaptive Real-Time Object Detection System
ARTOS is all about creating, tuning, and applying object detection model...
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