1 citations · 1 across the 6 of their papers we have counts for
6 papers
SegSLR: Promptable Video Segmentation for Isolated Sign Language Recognition
Sven Schreiber, Noha Sarhan, Simone Frintrop +1
Isolated Sign Language Recognition (ISLR) approaches primarily rely on RGB data or signer pose information. However, combining these modalities often results in the loss of crucial…
TRUDI and TITUS: A Multi-Perspective Dataset and A Three-Stage Recognition System for Transportation Unit Identification
Emre Gülsoylu, André Kelm, Lennart Bengtson +5
Identifying transportation units (TUs) is essential for improving the efficiency of port logistics. However, progress in this field has been hindered by the lack of publicly availa…
ContextLoss: Context Information for Topology-Preserving Segmentation
Benedict Schacht, Imke Greving, Simone Frintrop +2
In image segmentation, preserving the topology of segmented structures like vessels, membranes, or roads is crucial. For instance, topological errors on road networks can significa…
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
Christian Wilms, Tim Rolff, Maris Hillemann +2
We propose an approach for Open-World Instance Segmentation (OWIS), a task that aims to segment arbitrary unknown objects in images by generalizing from a limited set of annotated…
AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection
Mykhailo Koshil, Tilman Wegener, Detlef Mentrup +2
Visual inspection, or industrial anomaly detection, is one of the most common quality control types in manufacturing. The task is to identify the presence of an anomaly given an im…
SAD: Semi-supervised Small Apple Detection in Orchard Environments
Robert Johanson, Christian Wilms, Ole Johannsen +1
Crop detection is integral for precision agriculture applications such as automated yield estimation or fruit picking. However, crop detection, e.g., apple detection in orchard env…