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N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation.

, , , , , , and . CVPR Workshops, page 1342-1347. Computer Vision Foundation / IEEE, (2021)

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Detecting the unknown in Object Detection., , , and . CoRR, (2022)Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (12): 10099-10113 (2022)Self-supervision & meta-learning for one-shot unsupervised cross-domain detection., , , and . Comput. Vis. Image Underst., (2022)Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography., , , , , , , , , and 10 other author(s). Frontiers Neurorobotics, (2014)Structured Domain Adaptation for 3D Keypoint Estimation., , , , and . 3DV, page 57-66. IEEE, (2019)Hallucinating Agnostic Images to Generalize Across Domains., , , and . ICCV Workshops, page 3227-3234. IEEE, (2019)Toward Human-Robot Cooperation: Unsupervised Domain Adaptation for Egocentric Action Recognition., , , , and . HFR, volume 26 of Springer Proceedings in Advanced Robotics, page 218-232. Springer, (2022)FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving., , , , , , and . IROS, page 11504-11511. IEEE, (2022)Automatic Creation of Large Scale Object Databases from Web Resources: A Case Study in Robot Vision., , , and . ICIAP (2), volume 11752 of Lecture Notes in Computer Science, page 488-498. Springer, (2019)Test-Time Adaptation for Egocentric Action Recognition., , and . ICIAP (3), volume 13233 of Lecture Notes in Computer Science, page 206-218. Springer, (2022)