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10/22/2021
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
Deep-learning methods offer unsurpassed recognition performance in a wid...
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09/28/2021
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge
Learning from limited amounts of data is the hallmark of intelligence, r...
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09/14/2021
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning
There are numerous methods for detecting anomalies in time series, but t...
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08/30/2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Data-efficient image classification using deep neural networks in settin...
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08/16/2021
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges
We introduce a novel dataset for architectural style classification, con...
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04/22/2021
Self-Supervised Learning from Semantically Imprecise Data
Learning from imprecise labels such as "animal" or "bird", but making pr...
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11/12/2020
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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11/11/2020
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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10/13/2020
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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08/09/2019
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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02/01/2019
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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01/25/2019
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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12/11/2018
Towards Automatic Identification of Elephants in the Wild
Identifying animals from a large group of possible individuals is very i...
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09/26/2018
Hierarchy-based Image Embeddings for Semantic Image Retrieval
Deep neural networks trained for classification have been found to learn...
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09/07/2018
Information-Theoretic Active Learning for Content-Based Image Retrieval
We propose Information-Theoretic Active Learning (ITAL), a novel batch-m...
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04/19/2018
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection
Automatic detection of anomalies in space- and time-varying measurements...
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11/02/2017
Automatic Query Image Disambiguation for Content-Based Image Retrieval
Query images presented to content-based image retrieval systems often ha...
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04/10/2017
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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10/21/2016
Maximally Divergent Intervals for Anomaly Detection
We present new methods for batch anomaly detection in multivariate time ...
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07/10/2014