209 citations · 374 across the 12 of their papers we have counts for
7 papers · 1 filter
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation
Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber
Humans and animals recognize objects irrespective of the beholder's point of view, which may drastically change their appearances. Artificial pattern recognizers also strive to ach…
Video object detection for privacy-preserving patient monitoring in intensive care
Raphael Emberger, Jens Michael Boss, Daniel Baumann +5
Patient monitoring in intensive care units, although assisted by biosensors, needs continuous supervision of staff. To reduce the burden on staff members, IT infrastructures are bu…
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann
The existence of adversarial attacks on convolutional neural networks (CNN) questions the fitness of such models for serious applications. The attacks manipulate an input image suc…
Is it enough to optimize CNN architectures on ImageNet?
Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
Classification performance based on ImageNet is the de-facto standard metric for CNN development. In this work we challenge the notion that CNN architecture design solely based on…
DeepScores and Deep Watershed Detection: current state and open issues
Ismail Elezi, Lukas Tuggener, Marcello Pelillo +1
This paper gives an overview of our current Optical Music Recognition (OMR) research. We recently released the OMR dataset \emph{DeepScores} as well as the object detection method…
Deep Watershed Detector for Music Object Recognition
Lukas Tuggener, Ismail Elezi, Jurgen Schmidhuber +1
Optical Music Recognition (OMR) is an important and challenging area within music information retrieval, the accurate detection of music symbols in digital images is a core functio…
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber +2
We present the DeepScores dataset with the goal of advancing the state-of-the-art in small objects recognition, and by placing the question of object recognition in the context of…