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ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks.

, , , and . ICCV, page 1911-1920. IEEE, (2019)

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InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions., , , , , and . CoRR, (2024)UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition., , , , , , and . CoRR, (2023)RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets., , , and . CoRR, (2023)RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality., , , , and . CoRR, (2021)Global Sparse Momentum SGD for Pruning Very Deep Neural Networks., , , , , and . NeurIPS, page 6379-6391. (2019)Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure., , , and . CVPR, page 4943-4953. Computer Vision Foundation / IEEE, (2019)Evolving Semantic Prototype Improves Generative Zero-Shot Learning., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 4611-4622. PMLR, (2023)Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language., , , , and . CHI, page 443:1-443:20. ACM, (2024)Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities., , , , , and . CoRR, (2024)Advancing Vision Transformers with Group-Mix Attention., , , , , , and . CoRR, (2023)