113 citations · 362 across the 18 of their papers we have counts for
Showing 2019Show all
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cs.IR2019★ 7 cited
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images
Björn Barz, Kai Schröter, Moritz Münch +4
The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to a coarse distribution of sensors or sensor failures. This limitation coul…
cs.CV2019★ 58 cited
Do We Train on Test Data? Purging CIFAR of Near-Duplicates
Björn Barz, Joachim Denzler
The CIFAR-10 and CIFAR-100 datasets are two of the most heavily benchmarked datasets in computer vision and are often used to evaluate novel methods and model architectures in the…
cs.LG2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Björn Barz, Joachim Denzler
Two things seem to be indisputable in the contemporary deep learning discourse: 1. The categorical cross-entropy loss after softmax activation is the method of choice for classific…