%0 Conference Paper %1 conf/dagm/SchlosserKT22 %A Schlosser, Michael %A König, Daniel %A Teutsch, Michael %B GCPR %D 2022 %E Andres, Björn %E Bernard, Florian %E Cremers, Daniel %E Frintrop, Simone %E Goldlücke, Bastian %E Ihrke, Ivo %I Springer %K dblp %P 545-559 %T A Framework for Benchmarking Real-Time Embedded Object Detection. %U http://dblp.uni-trier.de/db/conf/dagm/gcpr2022.html#SchlosserKT22 %V 13485 %@ 978-3-031-16788-1

@inproceedings{conf/dagm/SchlosserKT22, added-at = {2022-10-13T00:00:00.000+0200}, author = {Schlosser, Michael and König, Daniel and Teutsch, Michael}, biburl = {https://www.bibsonomy.org/bibtex/2f922ada46a6ba336cdaec314100c90c1/dblp}, booktitle = {GCPR}, crossref = {conf/dagm/2022}, editor = {Andres, Björn and Bernard, Florian and Cremers, Daniel and Frintrop, Simone and Goldlücke, Bastian and Ihrke, Ivo}, ee = {https://doi.org/10.1007/978-3-031-16788-1_33}, interhash = {394e2c59bc70fd19350dec4fb07577d9}, intrahash = {f922ada46a6ba336cdaec314100c90c1}, isbn = {978-3-031-16788-1}, keywords = {dblp}, pages = {545-559}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T19:58:18.000+0200}, title = {A Framework for Benchmarking Real-Time Embedded Object Detection.}, url = {http://dblp.uni-trier.de/db/conf/dagm/gcpr2022.html#SchlosserKT22}, volume = 13485, year = 2022 }