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AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data.

, , , , , , and . KDD, page 3976-3984. ACM, (2021)

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Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation., , , , and . CoRR, (2022)Rapid Urban Roadside Tree Inventory Using a Mobile Laser Scanning System., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 12 (9): 3690-3700 (2019)LiDAR-Video Driving Dataset: Learning Driving Policies Effectively., , , , , , and . CVPR, page 5870-5878. Computer Vision Foundation / IEEE Computer Society, (2018)VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results., , , , , , , , , and 27 other author(s). ICCVW, page 2847-2854. IEEE, (2021)Continual Learning for Smart City: A Survey., , , , and . CoRR, (2024)AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results., , , , , , , , , and 61 other author(s). ECCV Workshops (3), volume 12537 of Lecture Notes in Computer Science, page 392-422. Springer, (2020)Learning Fast Matching Models from Weak Annotations., , , , , , , and . WWW, page 2985-2991. ACM, (2019)Hierarchical Active Learning with Proportion Feedback on Regions., and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 464-480. Springer, (2018)Region-Based Active Learning with Hierarchical and Adaptive Region Construction., and . SDM, page 441-449. SIAM, (2019)DeepBlueAI at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Stacking Diverse Language Model-Based Methods., , , and . SemEval@ACL/IJCNLP, page 1130-1134. Association for Computational Linguistics, (2021)