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SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud., , , , и . ICRA, стр. 4376-4382. IEEE, (2019)Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation., , , , , , , , , и . IEEE Trans. Cybern., 52 (10): 10000-10013 (2022)Scenic: a language for scenario specification and data generation., , , , , , и . Mach. Learn., 112 (10): 3805-3849 (октября 2023)OneLLM: One Framework to Align All Modalities with Language., , , , , , , , и . CoRR, (2023)MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation., , , , , и . Int. J. Comput. Vis., 129 (8): 2399-2424 (2021)Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data., , , , , , и . CoRR, (2021)3D Environment Modeling for Falsification and Beyond with Scenic 3.0., , , , , , , , , и . CAV (1), том 13964 из Lecture Notes in Computer Science, стр. 253-265. Springer, (2023)Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation., , , , и . ICCV, стр. 931-942. IEEE, (2023)Online Vectorized HD Map Construction using Geometry., , , , и . CoRR, (2023)Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions., , , , , , , , и . CVPR, стр. 9127-9135. Computer Vision Foundation / IEEE Computer Society, (2018)