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Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length.

, , , , and . CoRR, (2021)

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A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance., , , , , and . ICCV, page 11651-11661. IEEE, (2023)Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition., , , , and . NeurIPS, page 11960-11973. (2021)On the Integration of Self-Attention and Convolution., , , , , , and . CVPR, page 805-815. IEEE, (2022)Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation., , , and . KDD, page 1846-1856. ACM, (2022)Remaining Useful Life Prediction for a Nonlinear Heterogeneous Wiener Process Model With an Adaptive Drift., , , and . IEEE Trans. Reliability, 64 (2): 687-700 (2015)High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks, , , and . (2019)cite arxiv:1905.13545.Improving Object Detection with Inverted Attention., , and . WACV, page 1294-1302. IEEE, (2020)High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks., , , and . CVPR, page 8681-8691. Computer Vision Foundation / IEEE, (2020)The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization., , , , and . CVPR, page 9621-9631. IEEE, (2022)Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection., , , and . NeurIPS, (2020)