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Exploring Efficient Few-shot Adaptation for Vision Transformers., , , , , and . Trans. Mach. Learn. Res., (2022)Fast Learning of Temporal Action Proposal via Dense Boundary Generator., , , , , , , , , and . CoRR, (2019)PatchMix Augmentation to Identify Causal Features in Few-shot Learning., , , , , , and . CoRR, (2022)EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm., , , , , , and . CoRR, (2022)Exploring Efficient Few-shot Adaptation for Vision Transformers., , , , , and . CoRR, (2023)ASFD: Automatic and Scalable Face Detector., , , , , , , , and . CoRR, (2022)Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection., , , , , , , , , and . ICCV, page 16355-16363. IEEE, (2023)Fast Learning of Temporal Action Proposal via Dense Boundary Generator., , , , , , , , , and . AAAI, page 11499-11506. AAAI Press, (2020)AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model., , , , , , , and . AAAI, page 8526-8534. AAAI Press, (2024)Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes., , , , , , and . AAAI, page 21637-21645. AAAI Press, (2024)