Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Wilms, Christian"'
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 image, e.g., a missing component on an image of a circuit board, for sub
Externí odkaz:
http://arxiv.org/abs/2408.15113
Autor:
Kelm, André, Hannemann, Niels, Heberle, Bruno, Schmidt, Lucas, Rolff, Tim, Wilms, Christian, Yaghoubi, Ehsan, Frintrop, Simone
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 hierarchical classification network topology that combines sequential
Externí odkaz:
http://arxiv.org/abs/2403.05601
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 environments remains challenging due to a lack of large-scale datasets an
Externí odkaz:
http://arxiv.org/abs/2311.05029
Autor:
Kelm, André Peter, Hannemann, Niels, Heberle, Bruno, Schmidt, Lucas, Rolff, Tim, Wilms, Christian, Yaghoubi, Ehsan, Frintrop, Simone
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 deep learning models. Drawing inspiration from human perception, we c
Externí odkaz:
http://arxiv.org/abs/2308.05128
Traffic light detection is a challenging problem in the context of self-driving cars and driver assistance systems. While most existing systems produce good results on large traffic lights, detecting small and tiny ones is often overlooked. A key pro
Externí odkaz:
http://arxiv.org/abs/2307.15191
Precisely locating and segmenting medical instruments in images of minimally invasive surgeries, medical instrument segmentation, is an essential first step for several tasks in medical image processing. However, image degradations, small instruments
Externí odkaz:
http://arxiv.org/abs/2203.11358
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 in images of entire apple trees. Since the apples are very small object
Externí odkaz:
http://arxiv.org/abs/2202.11372
Autor:
Wilms, Christian, Frintrop, Simone
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 of segmentation and only roughly adhere to object boundaries. Since ty
Externí odkaz:
http://arxiv.org/abs/2108.03503
Autor:
Nelson, Glyn, Boehm, Ulrike, Bagley, Steve, Bajcsy, Peter, Bischof, Johanna, Brown, Claire M, Dauphin, Aurelien, Dobbie, Ian M, Eriksson, John E, Faklaris, Orestis, Fernandez-Rodriguez, Julia, Ferrand, Alexia, Gelman, Laurent, Gheisari, Ali, Hartmann, Hella, Kukat, Christian, Laude, Alex, Mitkovski, Miso, Munck, Sebastian, North, Alison J, Rasse, Tobias M, Resch-Genger, Ute, Schuetz, Lucas C, Seitz, Arne, Strambio-De-Castillia, Caterina, Swedlow, Jason R, Alexopoulos, Ioannis, Aumayr, Karin, Avilov, Sergiy, Bakker, Gert-Jan, Bammann, Rodrigo R, Bassi, Andrea, Beckert, Hannes, Beer, Sebastian, Belyaev, Yury, Bierwagen, Jakob, Birngruber, Konstantin A, Bosch, Manel, Breitlow, Juergen, Cameron, Lisa A, Chalfoun, Joe, Chambers, James J, Chen, Chieh-Li, Conde-Sousa, Eduardo, Corbett, Alexander D, Cordelieres, Fabrice P, Del Nery, Elaine, Dietzel, Ralf, Eismann, Frank, Fazeli, Elnaz, Felscher, Andreas, Fried, Hans, Gaudreault, Nathalie, Goh, Wah Ing, Guilbert, Thomas, Hadleigh, Roland, Hemmerich, Peter, Holst, Gerhard A, Itano, Michelle S, Jaffe, Claudia B, Jambor, Helena K, Jarvis, Stuart C, Keppler, Antje, Kirchenbuechler, David, Kirchner, Marcel, Kobayashi, Norio, Krens, Gabriel, Kunis, Susanne, Lacoste, Judith, Marcello, Marco, Martins, Gabriel G, Metcalf, Daniel J, Mitchell, Claire A, Moore, Joshua, Mueller, Tobias, Nelson, Michael S, Ogg, Stephen, Onami, Shuichi, Palmer, Alexandra L, Paul-Gilloteaux, Perrine, Pimentel, Jaime A, Plantard, Laure, Podder, Santosh, Rexhepaj, Elton, Royon, Arnaud, Saari, Markku A, Schapman, Damien, Schoonderwoert, Vincent, Schroth-Diez, Britta, Schwartz, Stanley, Shaw, Michael, Spitaler, Martin, Stoeckl, Martin T, Sudar, Damir, Teillon, Jeremie, Terjung, Stefan, Thuenauer, Roland, Wilms, Christian D, Wright, Graham D, Nitschke, Roland
Publikováno v:
J. Microsc. 2021;1-18
In April 2020, the QUality Assessment and REProducibility for Instruments and Images in Light Microscopy (QUAREP-LiMi) initiative was formed. This initiative comprises imaging scientists from academia and industry who share a common interest in achie
Externí odkaz:
http://arxiv.org/abs/2101.09153
Autor:
Wilms, Christian, Frintrop, Simone
Precise segmentation of objects is an important problem in tasks like class-agnostic object proposal generation or instance segmentation. Deep learning-based systems usually generate segmentations of objects based on coarse feature maps, due to the i
Externí odkaz:
http://arxiv.org/abs/2101.04574