2 citations · 3 across the 3 of their papers we have counts for
6 papers
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…
Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask
Christian Wilms, Alexander Michael Gerlach, Rüdiger Schmitz +1
Precisely locating and segmenting medical instruments in images of minimally invasive surgeries, medical instrument segmentation, is an essential first step for several tasks in me…
Localizing Small Apples in Complex Apple Orchard Environments
Christian Wilms, Robert Johanson, Simone Frintrop
The localization of fruits is an essential first step in automated agricultural pipelines for yield estimation or fruit picking. One example of this is the localization of apples i…
DeepFH Segmentations for Superpixel-based Object Proposal Refinement
Christian Wilms, Simone Frintrop
Class-agnostic object proposal generation is an important first step in many object detection pipelines. However, object proposals of modern systems are rather inaccurate in terms…
Superpixel-based Refinement for Object Proposal Generation
Christian Wilms, Simone Frintrop
Precise segmentation of objects is an important problem in tasks like class-agnostic object proposal generation or instance segmentation. Deep learning-based systems usually genera…
AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects
Christian Wilms, Simone Frintrop
We propose a novel approach for class-agnostic object proposal generation, which is efficient and especially well-suited to detect small objects. Efficiency is achieved by scale-sp…