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Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework.

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FILIP: Fine-grained Interactive Language-Image Pre-Training., , , , , , , , , and . CoRR, (2021)One Million Scenes for Autonomous Driving: ONCE Dataset., , , , , , , , , and 3 other author(s). NeurIPS Datasets and Benchmarks, (2021)Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data., , , , , , , and . ACM Trans. Inf. Syst., 37 (1): 5:1-5:35 (2019)Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection., , , , , and . ICCV, page 2703-2712. IEEE, (2021)Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving., , , , , and . CVPR, page 9611-9621. IEEE, (2023)Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data., , , , , , , and . CoRR, (2018)Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework., , , , , , , , , and . CoRR, (2022)One Million Scenes for Autonomous Driving: ONCE Dataset., , , , , , , , , and 2 other author(s). CoRR, (2021)PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion., , , , , , , , , and . CoRR, (2023)Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark., , , , , , , , , and 2 other author(s). NeurIPS, (2022)