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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

, and . NIPS, page 5574-5584. (2017)

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Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics., , and . CVPR, page 7482-7491. Computer Vision Foundation / IEEE Computer Society, (2018)Orthographic Feature Transform for Monocular 3D Object Detection., , and . BMVC, page 285. BMVA Press, (2019)Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving., , and . CoRR, (2021)Geometric Loss Functions for Camera Pose Regression with Deep Learning., and . CVPR, page 6555-6564. IEEE Computer Society, (2017)Urban Driving with Conditional Imitation Learning., , , , , , , , , and 1 other author(s). CoRR, (2019)Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding., , and . BMVC, BMVA Press, (2017)Learning a Spatio-Temporal Embedding for Video Instance Segmentation., , and . CoRR, (2019)Learning to Drive from Simulation without Real World Labels., , , , , , and . ICRA, page 4818-4824. IEEE, (2019)Video Class Agnostic Segmentation Benchmark for Autonomous Driving., , and . CVPR Workshops, page 2825-2834. Computer Vision Foundation / IEEE, (2021)FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras., , , , , , , and . ICCV, page 15253-15262. IEEE, (2021)