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UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition.

, , , , , , и . CoRR, (2023)

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UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition., , , , , , и . CoRR, (2023)RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets., , , и . CoRR, (2023)Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure., , , и . CVPR, стр. 4943-4953. Computer Vision Foundation / IEEE, (2019)Global Sparse Momentum SGD for Pruning Very Deep Neural Networks., , , , , и . NeurIPS, стр. 6379-6391. (2019)Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language., , , , и . CHI, стр. 443:1-443:20. ACM, (2024)Evolving Semantic Prototype Improves Generative Zero-Shot Learning., , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 4611-4622. PMLR, (2023)Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks., , , и . AAAI, стр. 6797-6804. AAAI Press, (2018)RepVGG: Making VGG-Style ConvNets Great Again., , , , , и . CVPR, стр. 13733-13742. Computer Vision Foundation / IEEE, (2021)Advancing Vision Transformers with Group-Mix Attention., , , , , , и . CoRR, (2023)Towards Unified and Effective Domain Generalization., , , , , , и . CoRR, (2023)