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Vehicles Tracking by Combining Convolutional Neural Network Based Segmentation and Optical Flow Estimation., , , and . ACIVS, volume 12002 of Lecture Notes in Computer Science, page 529-540. Springer, (2020)xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation., , , , and . CoRR, (2019)Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (2): 1533-1544 (2023)PØDA: Prompt-driven Zero-shot Domain Adaptation., , , , and . CoRR, (2022)Confidence Estimation via Auxiliary Models., , , , , and . CoRR, (2020)VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users., , , , , , and . Autonomous Vehicles and Machines, page 1-10. Society for Imaging Science and Technology, (2020)Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation., , , , and . CVPR Workshops, page 3750-3759. IEEE, (2022)Tube-CNN: Modeling temporal evolution of appearance for object detection in video., , and . CoRR, (2018)Anomaly Detection in Surveillance Videos by Future Appearance-motion Prediction., , , and . VISIGRAPP (5: VISAPP), page 484-490. SCITEPRESS, (2020)Handling new target classes in semantic segmentation with domain adaptation., , , and . Comput. Vis. Image Underst., (2021)