8 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…
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…
Select High-Level Features: Efficient Experts from a Hierarchical Classification Network
André Kelm, Niels Hannemann, Bruno Heberle +5
This study introduces a novel expert generation method that dynamically reduces task and computational complexity without compromising predictive performance. It is based on a new…
High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention
André Peter Kelm, Niels Hannemann, Bruno Heberle +5
This paper introduces a novel network topology that seamlessly integrates dynamic inference cost with a top-down attention mechanism, addressing two significant gaps in traditional…