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Superpixel Transformers for Efficient Semantic Segmentation.

, , , , , , и . IROS, стр. 7651-7658. (2023)

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Mei Wu

Mei Minghui

Mei Buder

Yu Mei

Xiaodong Mei

 

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BNET: Batch Normalization With Enhanced Linear Transformation., , , , , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 45 (7): 9225-9232 (июля 2023)Superpixel Transformers for Efficient Semantic Segmentation., , , , , , и . IROS, стр. 7651-7658. (2023)FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning., , , , , , и . CoRR, (2023)Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning., , , , и . CoRR, (2023)Shape-Texture Debiased Neural Network Training., , , , , , , и . ICLR, OpenReview.net, (2021)Are Transformers more robust than CNNs?, , , и . NeurIPS, стр. 26831-26843. (2021)AtomNAS: Fine-Grained End-to-End Neural Architecture Search., , , , , , и . CoRR, (2019)Online Dictionary Learning for Approximate Archetypal Analysis., , и . ECCV (3), том 11207 из Lecture Notes in Computer Science, стр. 501-516. Springer, (2018)CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network., , , , и . CoRR, (2020)3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation., , , , , и . ICCV, стр. 9365-9376. IEEE, (2023)