18 citations · 36 across the 16 of their papers we have counts for
4 papers · 1 filter
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
Marek Herde, Denis Huseljic, Lukas Rauch +1
Human annotators typically provide annotated data for training machine learning models, such as neural networks. Yet, human annotations are subject to noise, impairing generalizati…
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification
Denis Huseljic, Paul Hahn, Marek Herde +2
Deep active learning (AL) seeks to minimize the annotation costs for training deep neural networks. BAIT, a recently proposed AL strategy based on the Fisher Information, has demon…
Active Label Refinement for Semantic Segmentation of Satellite Images
Tuan Pham Minh, Jayan Wijesingha, Daniel Kottke +5
Remote sensing through semantic segmentation of satellite images contributes to the understanding and utilisation of the earth's surface. For this purpose, semantic segmentation ne…
A Review of Uncertainty Calibration in Pretrained Object Detectors
Denis Huseljic, Marek Herde, Mehmet Muejde +1
In the field of deep learning based computer vision, the development of deep object detection has led to unique paradigms (e.g., two-stage or set-based) and architectures (e.g., Fa…