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Rethinking Pseudo-LiDAR Representation.

, , , , , и . ECCV (13), том 12358 из Lecture Notes in Computer Science, стр. 311-327. Springer, (2020)

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Xingyu Ma

Xingyu Zhao

Xingyu Gao

Gang Zeng

Lecai Zeng

 

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Explore the Power of Synthetic Data on Few-shot Object Detection., , , и . CVPR Workshops, стр. 638-647. IEEE, (2023)Three-stage Training Pipeline with Patch Random Drop for Few-shot Object Detection., , , и . ACCV (6), том 13846 из Lecture Notes in Computer Science, стр. 286-302. Springer, (2022)Rethinking Pseudo-LiDAR Representation., , , , , и . ECCV (13), том 12358 из Lecture Notes in Computer Science, стр. 311-327. Springer, (2020)MeanAP-Guided Reinforced Active Learning for Object Detection., , , и . CoRR, (2023)SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers., , , , , , , , , и . BMVC, стр. 111-113. BMVA Press, (2023)Explore the Power of Dropout on Few-shot Learning., , и . CoRR, (2023)GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving., , , , и . CVPR, стр. 1019-1028. Computer Vision Foundation / IEEE, (2019)Adapting Object Detectors with Conditional Domain Normalization., , , , , , и . ECCV (11), том 12356 из Lecture Notes in Computer Science, стр. 403-419. Springer, (2020)Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection., , , и . ECCV (4), том 13664 из Lecture Notes in Computer Science, стр. 333-350. Springer, (2022)CLEAR: Can Language Models Really Understand Causal Graphs?, , , , , , и . CoRR, (2024)