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A Deep Learning Approach for LiDAR Resolution-Agnostic Object Detection.

, , , , и . IEEE Trans. Intell. Transp. Syst., 23 (9): 14582-14593 (2022)

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Visual pedestrian recognition inweak classifier space using nonlinear parametric models., , , и . ICIP, стр. 2392-2395. IEEE, (2008)Facial Landmark Correlation Analysis., , , , , , и . CoRR, (2019)Automatic Process to Build a Contextualized Detector., , , и . VISAPP (1), стр. 513-520. SciTePress, (2012)Toward Moving Objects Detection in 3D-Lidar and Camera Data., и . ICPRAM, стр. 809-816. SciTePress, (2014)Special section on background models comparison., , , и . Comput. Vis. Image Underst., (2014)A Real-Time Map Refinement Method Using a Multi-Sensor Localization Framework., , , , и . IEEE Trans. Intell. Transp. Syst., 20 (5): 1644-1658 (2019)An efficient ir approach based semantic segmentation., , , , и . Multim. Tools Appl., 82 (7): 10145-10163 (марта 2023)A Deep Learning Approach for LiDAR Resolution-Agnostic Object Detection., , , , и . IEEE Trans. Intell. Transp. Syst., 23 (9): 14582-14593 (2022)A subjective-logic-based model uncertainty estimation mechanism for out-of-domain detection., , и . IJCNN, стр. 1-6. IEEE, (2021)Toward industrial use of continual learning : new metrics proposal for class incremental learning., , , и . CoRR, (2024)