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1 Ergebnisse
1
InVar-100: Industrial Objects in Varied Contexts Dataset:
Lehr, Jan
;
Chavan, Vivek
;
Koch, Paul
..
Chavan, V., Koch, P., Schlüter, M., Briese, C. (2023). Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint, to appear in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). , 2023
Link:
https://fordatis.fraunhofer.de/handle/fordatis/329.2
RT Journal T1
InVar-100: Industrial Objects in Varied Contexts Dataset
UL https://suche.suub.uni-bremen.de/peid=base-ftfraunhoferford:oai:https:__fordatis.fraunhofer.de:fordatis_329.2&Exemplar=1&LAN=DE A1 Lehr, Jan A1 Chavan, Vivek A1 Koch, Paul A1 Schlüter, Marian A1 Briese, Clemens YR 2023 K1 industrial objects K1 objects in context K1 fine-grained classification K1 multimodal dataset K1 occlusion K1 clutter K1 computer vision K1 pattern recognition K1 DDC::600 Technik K1 Medizin K1 angewandte Wissenschaften::620 Ingenieurwissenschaften JF Chavan, V., Koch, P., Schlüter, M., Briese, C. (2023). Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint, to appear in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) LK http://dx.doi.org/https://fordatis.fraunhofer.de/handle/fordatis/329.2 DO https://fordatis.fraunhofer.de/handle/fordatis/329.2 SF ELIB - SuUB Bremen
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