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RC-NET: A General Framework for Incorporating Knowledge into Word Representations.

, , , , , , and . CIKM, page 1219-1228. ACM, (2014)

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A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation., , , and . IJCNN, page 1-8. IEEE, (2021)Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective., , , , , , , , , and 2 other author(s). ACM Multimedia, page 4021-4030. ACM, (2022)SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning., , , , , , , , , and 1 other author(s). AAAI, page 8430-8437. AAAI Press, (2023)Deep Label Distribution Learning With Label Ambiguity., , , , and . IEEE Trans. Image Process., 26 (6): 2825-2838 (2017)Deep Label Distribution Learning with Label Ambiguity., , , , and . CoRR, (2016)Towards Continual Adaptation in Industrial Anomaly Detection., , , , , , , and . ACM Multimedia, page 2871-2880. ACM, (2022)MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection., , , , , , , , and . CoRR, (2024)AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection., , , , , , , , , and . CoRR, (May 2025)Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation., , , , and . CoRR, (2020)Clustered-patch Element Connection for Few-shot Learning., , , , , , , and . IJCAI, page 991-998. ijcai.org, (2023)