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Superpixel Transformers for Efficient Semantic Segmentation., , , , , , and . IROS, page 7651-7658. (2023)FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning., , , , , , and . Trans. Mach. Learn. Res., (2024)FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning., , , , , , and . CoRR, (2023)Are Transformers more robust than CNNs?, , , and . NeurIPS, page 26831-26843. (2021)Shape-Texture Debiased Neural Network Training., , , , , , , and . ICLR, OpenReview.net, (2021)Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning., , , , and . ICLR, OpenReview.net, (2024)AtomNAS: Fine-Grained End-to-End Neural Architecture Search., , , , , , and . ICLR, OpenReview.net, (2020)3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers., , , , , , , , , and 5 other author(s). CoRR, (2023)Batch Normalization with Enhanced Linear Transformation., , , , , , , and . CoRR, (2020)Waymo Open Dataset: Panoramic Video Panoptic Segmentation., , , , , , and . ECCV (29), volume 13689 of Lecture Notes in Computer Science, page 53-72. Springer, (2022)