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FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods.

, , and . ICCV, page 3958-3968. IEEE, (2023)

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UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss., , and . AAAI, page 7251-7259. AAAI Press, (2018)Probabilistic Pixel-Adaptive Refinement Networks., and . CVPR, page 11639-11648. Computer Vision Foundation / IEEE, (2020)Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation., and . CVPR, page 5754-5763. Computer Vision Foundation / IEEE, (2019)Actor-Critic Instance Segmentation., , and . CVPR, page 8237-8246. Computer Vision Foundation / IEEE, (2019)Modeling Neural Population Spiking Activity with Gibbs Distributions., , and . NIPS, page 1537-1544. (2005)Dense Unsupervised Learning for Video Segmentation., , and . NeurIPS, page 25308-25319. (2021)Optical Flow Estimation in the Deep Learning Age., and . CoRR, (2020)Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings., , , and . ICCV Workshops, page 4561-4570. IEEE, (2019)Comeback Kid: Resilience for Mixed-Critical Wireless Network Resource Management., , , and . IEEE Trans. Veh. Technol., 72 (12): 16177-16194 (December 2023)A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors., , , , , , , , , and . RoboCup, volume 6556 of Lecture Notes in Computer Science, page 180-193. Springer, (2010)