115 citations · 323 across the 19 of their papers we have counts for
5 papers · 1 filter
Locality-Aware Hyperspectral Classification
Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren
Hyperspectral image classification is gaining popularity for high-precision vision tasks in remote sensing, thanks to their ability to capture visual information available in a wid…
Advances in MetaDL: AAAI 2021 challenge and workshop
Adrian El Baz, Isabelle Guyon, Zhengying Liu +3
To stimulate advances in metalearning using deep learning techniques (MetaDL), we organized in 2021 a challenge and an associated workshop. This paper presents the design of the ch…
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
Irma van den Brandt, Floris Fok, Bas Mulders +2
Transfer learning is a commonly used strategy for medical image classification, especially via pretraining on source data and fine-tuning on target data. There is currently no cons…
Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms
Rishabh Goyal, Joaquin Vanschoren, Victor van Acht +1
Convolutional Neural Networks (CNNs) have proven to be a powerful state-of-the-art method for image classification tasks. One drawback however is the high computational complexity…
Aerial Imagery Pixel-level Segmentation
Michael R. Heffels, Joaquin Vanschoren
Aerial imagery can be used for important work on a global scale. Nevertheless, the analysis of this data using neural network architectures lags behind the current state-of-the-art…