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cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

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…