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Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?, , , , , , , и . CoRR, (2022)Small Language Model Meets with Reinforced Vision Vocabulary., , , , , , , , и . CoRR, (2024)Reversible Column Networks., , , , , , и . ICLR, OpenReview.net, (2023)BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection., , , , , , , и . CoRR, (2022)Cross Modal Transformer via Coordinates Encoding for 3D Object Dectection., , , , , , и . CoRR, (2023)BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo., , , , , и . CoRR, (2023)BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo., , , , , и . AAAI, стр. 1486-1494. AAAI Press, (2023)Reversible Column Networks., , , , , , и . CoRR, (2022)Cross Modal Transformer: Towards Fast and Robust 3D Object Detection., , , , , , и . ICCV, стр. 18222-18232. IEEE, (2023)BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection., , , , , , , и . AAAI, стр. 1477-1485. AAAI Press, (2023)